added all environment project

.dockerignore

@@ -0,0 +1,15 @@
+.git
+.gitignore
+.env
+__pycache__
+*.pyc
+.pytest_cache
+.coverage
+venv/
+myenv/
+.DS_Store
+*.log
+.vscode
+.idea
+node_modules
+.git

.gitignore

@@ -0,0 +1,14 @@
+# Created by venv; see https://docs.python.org/3/library/venv.html
+myenv
+__pycache__/
+*.pyc
+.DS_Store
+.ipynb_checkpoints
+.env
+.vscode/
+.idea/
+data/
+models/
+outputs/
+project_1.egg-info
+logs/

README.md

@@ -1,10 +1,35 @@
 ---
-title: Math Score Ml Project
+title: Student Performance Predictor
 emoji: 📊
 colorFrom: blue
-colorTo: blue
+colorTo: indigo
 sdk: docker
+app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Student Performance Predictor 🎓
+
+This is an ML web app that predicts student math scores based on:
+- Gender
+- Race/Ethnicity
+- Parental Education Level
+- Lunch Type
+- Test Preparation Course
+- Reading Score
+- Writing Score
+
+## How to Use
+
+1. Visit the app
+2. Fill in the student details
+3. Get the predicted math score
+
+## Tech Stack
+- Flask (Backend)
+- Scikit-learn (ML Model)
+- Docker (Deployment)
+
+---
+
+## Your project description here...

app.py

@@ -0,0 +1,74 @@
+from flask import Flask, request, jsonify, render_template
+import numpy as np
+import pandas as pd
+from sklearn.preprocessing import StandardScaler
+from src.pipelines.predict_pipeline import PredictPipeline, CustomData
+
+application = Flask(__name__, template_folder='templates')
+app = application
+
+@app.route('/')
+def home():
+    return render_template('index.html')
+
+@app.route('/predict', methods=['POST', 'GET'])
+def predict():
+    if request.method == 'GET':
+        return render_template('home.html')
+    
+    try:
+        input_data = request.get_json()
+        
+        if not input_data:
+            return jsonify({'error': 'No JSON data provided'}), 400
+        
+        # Extract features
+        gender = input_data.get('gender')
+        race = input_data.get('race')
+        parental_education = input_data.get('parental_education')
+        lunch = input_data.get('lunch')
+        test_preparation_course = input_data.get('test_preparation_course')
+        reading_score = input_data.get('reading_score')
+        writing_score = input_data.get('writing_score')
+        
+        # Validate all required fields
+        if not all([gender, race, parental_education, lunch, test_preparation_course, 
+                   reading_score is not None, writing_score is not None]):
+            return jsonify({'error': 'Missing required fields'}), 400
+        
+        # Convert scores to float
+        try:
+            reading_score = float(reading_score)
+            writing_score = float(writing_score)
+        except ValueError:
+            return jsonify({'error': 'Scores must be numbers'}), 400
+        
+        # Create CustomData instance
+        data = CustomData(
+            gender=gender,
+            race=race,
+            parental_level_of_education=parental_education,
+            lunch=lunch,
+            test_preparation_course=test_preparation_course,
+            reading_score=reading_score,
+            writing_score=writing_score
+        )
+        
+        pred_df = data.get_data_as_data_frame()
+        predictor = PredictPipeline()
+        results = predictor.predict(pred_df)
+        
+        return jsonify({
+            'predicted_math_score': float(results[0]),
+            'reading_score': reading_score,
+            'writing_score': writing_score
+        }), 200
+        
+    except Exception as e:
+        print(f"Error: {str(e)}")
+        return jsonify({'error': f'Prediction failed: {str(e)}'}), 500
+
+if __name__ == '__main__':
+    # This won't be used in production (Gunicorn runs it), but good for local testing
+    app.run(host='0.0.0.0', port=7860, debug=False)
+# https://huggingface.co/spaces/Aryanjaiswal78231/math-score-predictor

artifacts/data.csv

@@ -0,0 +1,1001 @@
+gender,race/ethnicity,parental level of education,lunch,test preparation course,math score,reading score,writing score
+female,group B,bachelor's degree,standard,none,72,72,74
+female,group C,some college,standard,completed,69,90,88
+female,group B,master's degree,standard,none,90,95,93
+male,group A,associate's degree,free/reduced,none,47,57,44
+male,group C,some college,standard,none,76,78,75
+female,group B,associate's degree,standard,none,71,83,78
+female,group B,some college,standard,completed,88,95,92
+male,group B,some college,free/reduced,none,40,43,39
+male,group D,high school,free/reduced,completed,64,64,67
+female,group B,high school,free/reduced,none,38,60,50
+male,group C,associate's degree,standard,none,58,54,52
+male,group D,associate's degree,standard,none,40,52,43
+female,group B,high school,standard,none,65,81,73
+male,group A,some college,standard,completed,78,72,70
+female,group A,master's degree,standard,none,50,53,58
+female,group C,some high school,standard,none,69,75,78
+male,group C,high school,standard,none,88,89,86
+female,group B,some high school,free/reduced,none,18,32,28
+male,group C,master's degree,free/reduced,completed,46,42,46
+female,group C,associate's degree,free/reduced,none,54,58,61
+male,group D,high school,standard,none,66,69,63
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+female,group C,some high school,standard,none,69,73,73
+male,group D,bachelor's degree,free/reduced,completed,74,71,80
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+male,group C,associate's degree,standard,none,76,70,68
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+male,group D,some high school,free/reduced,none,56,54,52
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+male,group A,some college,standard,none,69,67,69
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+female,group B,associate's degree,free/reduced,none,53,71,67
+female,group D,high school,free/reduced,none,49,57,52
+female,group B,associate's degree,standard,none,73,76,80
+male,group B,bachelor's degree,standard,none,66,60,57
+male,group D,bachelor's degree,standard,completed,67,61,68
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+male,group C,high school,standard,none,71,66,65
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+male,group C,associate's degree,standard,none,83,72,78
+male,group B,bachelor's degree,standard,none,63,71,69
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+female,group C,high school,free/reduced,completed,67,79,84
+female,group E,high school,standard,none,75,86,79
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+male,group A,some college,free/reduced,none,28,23,19
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+male,group C,high school,standard,none,71,60,61
+male,group C,associate's degree,standard,none,47,37,35
+male,group E,associate's degree,standard,completed,62,56,53
+male,group B,associate's degree,standard,none,90,78,81
+female,group C,bachelor's degree,standard,none,83,93,95
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+male,group D,some high school,standard,completed,76,70,69
+male,group C,associate's degree,standard,none,49,51,43
+female,group B,some high school,free/reduced,none,24,38,27
+female,group D,some high school,free/reduced,completed,35,55,60
+male,group C,high school,free/reduced,none,58,61,52
+female,group C,high school,standard,none,61,73,63
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+male,group D,associate's degree,standard,completed,67,72,67
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+female,group C,high school,standard,none,72,80,75
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+male,group D,high school,free/reduced,none,75,74,66
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+female,group B,bachelor's degree,standard,none,52,65,69
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+female,group C,some college,standard,none,59,71,70
+female,group B,bachelor's degree,standard,none,61,72,70
+male,group A,associate's degree,standard,none,63,61,61
+female,group C,some college,free/reduced,completed,42,66,69
+male,group D,some college,free/reduced,none,59,62,61
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+female,group B,high school,standard,none,58,62,59
+male,group B,some high school,standard,completed,85,84,78
+female,group C,some college,standard,none,52,58,58
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+male,group C,some college,standard,none,59,60,58
+male,group A,bachelor's degree,free/reduced,completed,49,58,60
+male,group C,high school,standard,completed,69,58,53
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+female,group A,some high school,free/reduced,none,44,64,58
+female,group D,some high school,standard,none,73,84,85
+male,group E,some college,standard,none,84,77,71
+female,group C,some college,free/reduced,completed,45,73,70
+male,group D,some high school,standard,none,74,74,72
+female,group D,some college,standard,completed,82,97,96
+female,group D,bachelor's degree,standard,none,59,70,73
+male,group E,associate's degree,free/reduced,none,46,43,41
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+female,group D,master's degree,free/reduced,completed,85,95,100
+female,group A,some high school,standard,none,71,83,77
+male,group A,bachelor's degree,standard,none,66,64,62
+female,group B,associate's degree,standard,none,80,86,83
+male,group C,associate's degree,standard,completed,87,100,95
+male,group C,master's degree,free/reduced,none,79,81,71
+female,group E,some high school,free/reduced,none,38,49,45
+female,group A,some high school,free/reduced,none,38,43,43
+female,group E,some college,standard,none,67,76,75
+female,group E,bachelor's degree,standard,none,64,73,70
+female,group C,associate's degree,free/reduced,none,57,78,67
+female,group D,high school,standard,none,62,64,64
+male,group D,master's degree,standard,none,73,70,75
+male,group E,some high school,free/reduced,completed,73,67,59
+female,group D,some college,standard,none,77,68,77
+male,group E,some college,standard,none,76,67,67
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+female,group C,some high school,standard,completed,65,74,77
+male,group A,high school,free/reduced,none,48,45,41
+female,group B,high school,free/reduced,none,50,67,63
+female,group C,associate's degree,standard,none,85,89,95
+male,group B,some high school,standard,none,74,63,57
+male,group D,some high school,standard,none,60,59,54
+female,group C,some high school,standard,completed,59,54,67
+male,group A,some college,standard,none,53,43,43
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+female,group D,high school,standard,completed,88,99,100
+female,group C,high school,standard,none,54,59,62
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+female,group B,associate's degree,standard,none,82,80,77
+female,group D,high school,free/reduced,completed,52,57,56
+male,group D,associate's degree,standard,completed,87,84,85
+female,group D,master's degree,standard,completed,70,71,74
+male,group E,some college,standard,completed,84,83,78
+male,group D,associate's degree,standard,none,71,66,60
+male,group B,some high school,standard,completed,63,67,67
+female,group C,bachelor's degree,free/reduced,completed,51,72,79
+male,group E,high school,standard,none,84,73,69
+male,group C,bachelor's degree,standard,completed,71,74,68
+male,group C,associate's degree,standard,none,74,73,67
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+female,group D,high school,standard,completed,57,58,64
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+female,group A,some high school,standard,completed,59,85,80
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+female,group C,some college,free/reduced,none,62,67,62
+male,group C,bachelor's degree,standard,none,86,83,86
+male,group C,some high school,free/reduced,none,69,71,65
+male,group A,some high school,free/reduced,none,65,59,53
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+male,group C,associate's degree,free/reduced,none,64,66,59
+female,group C,high school,standard,none,61,72,70
+male,group C,high school,standard,none,61,56,55
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+male,group C,some high school,standard,none,73,66,66
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+male,group C,high school,standard,none,70,56,51
+male,group D,some high school,standard,completed,89,88,82
+female,group C,some college,standard,completed,67,81,79
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+female,group A,some high school,free/reduced,none,59,73,69
+female,group B,associate's degree,standard,none,73,83,76
+male,group A,some high school,free/reduced,none,79,82,73
+female,group C,some high school,standard,completed,67,74,77
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+male,group B,high school,standard,none,47,46,42
+male,group B,associate's degree,standard,none,81,73,72
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+female,group E,some college,standard,none,100,92,97
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+male,group C,bachelor's degree,free/reduced,none,37,56,47
+female,group D,bachelor's degree,standard,none,79,89,89
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+male,group B,high school,standard,completed,72,65,68
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+male,group B,some college,free/reduced,none,54,54,45
+female,group E,some college,standard,none,71,70,76
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+female,group D,associate's degree,free/reduced,none,26,31,38
+male,group A,high school,free/reduced,completed,72,67,65
+female,group A,high school,free/reduced,completed,77,88,85
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+female,group C,high school,standard,none,63,69,74
+female,group C,associate's degree,standard,completed,68,86,84
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+female,group D,bachelor's degree,standard,completed,71,76,83
+male,group E,bachelor's degree,standard,completed,76,62,66
+male,group D,associate's degree,standard,none,80,68,72
+female,group D,master's degree,standard,none,55,64,70
+male,group E,associate's degree,standard,none,76,71,67
+male,group B,high school,standard,completed,73,71,68
+female,group D,associate's degree,free/reduced,none,52,59,56
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+male,group A,high school,standard,none,59,52,46
+female,group B,associate's degree,standard,none,49,52,54
+male,group C,high school,standard,none,70,74,71
+male,group D,some college,free/reduced,none,61,47,56
+female,group C,associate's degree,free/reduced,none,60,75,74
+male,group B,some high school,standard,completed,64,53,57
+male,group A,associate's degree,free/reduced,completed,79,82,82
+female,group A,associate's degree,free/reduced,none,65,85,76
+female,group C,associate's degree,standard,none,64,64,70
+female,group C,some college,standard,none,83,83,90
+female,group C,bachelor's degree,standard,none,81,88,90
+female,group B,high school,standard,none,54,64,68
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+female,group C,some college,standard,none,54,48,52
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+male,group E,some college,standard,none,76,71,72
+female,group D,master's degree,standard,none,74,79,82
+female,group B,associate's degree,standard,completed,94,87,92
+male,group C,some college,free/reduced,none,63,61,54
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+female,group D,master's degree,free/reduced,none,40,59,54
+female,group B,some high school,standard,none,82,82,80
+male,group A,high school,standard,none,68,70,66
+male,group B,bachelor's degree,free/reduced,none,55,59,54
+male,group C,master's degree,standard,none,79,78,77
+female,group C,bachelor's degree,standard,none,86,92,87
+male,group D,some college,standard,none,76,71,73
+male,group A,some high school,standard,none,64,50,43
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+female,group B,some high school,standard,completed,54,61,62
+female,group B,master's degree,free/reduced,completed,77,97,94
+female,group C,some high school,standard,completed,76,87,85
+female,group D,some college,standard,none,74,89,84
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+female,group D,some high school,standard,completed,66,78,78
+female,group B,high school,free/reduced,completed,67,78,79
+male,group D,some college,standard,none,71,49,52
+female,group C,associate's degree,standard,none,91,86,84
+male,group D,bachelor's degree,standard,none,69,58,57
+male,group C,master's degree,free/reduced,none,54,59,50
+male,group C,high school,standard,completed,53,52,49
+male,group E,some college,standard,none,68,60,59
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+female,group D,bachelor's degree,free/reduced,none,29,41,47
+female,group C,associate's degree,standard,none,62,74,70
+female,group C,associate's degree,standard,completed,68,67,73
+female,group C,some high school,standard,none,47,54,53
+male,group E,associate's degree,standard,completed,62,61,58
+female,group E,associate's degree,standard,completed,79,88,94
+male,group B,high school,standard,completed,73,69,68
+female,group C,bachelor's degree,free/reduced,completed,66,83,83
+male,group C,associate's degree,standard,completed,51,60,58
+female,group D,high school,standard,none,51,66,62
+male,group E,bachelor's degree,standard,completed,85,66,71
+male,group A,associate's degree,standard,completed,97,92,86
+male,group C,high school,standard,completed,75,69,68
+male,group D,associate's degree,free/reduced,completed,79,82,80
+female,group C,associate's degree,standard,none,81,77,79
+female,group D,associate's degree,standard,none,82,95,89
+female,group D,master's degree,standard,none,64,63,66
+male,group E,some high school,free/reduced,completed,78,83,80
+female,group A,some high school,standard,completed,92,100,97
+male,group C,high school,standard,completed,72,67,64
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+male,group C,master's degree,standard,none,79,72,69
+male,group C,some high school,free/reduced,none,79,76,65
+male,group B,bachelor's degree,free/reduced,completed,87,90,88
+female,group B,associate's degree,standard,none,40,48,50
+male,group D,some college,free/reduced,none,77,62,64
+male,group E,associate's degree,standard,none,53,45,40
+female,group C,some college,free/reduced,none,32,39,33
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+male,group C,master's degree,free/reduced,none,61,67,66
+female,group B,associate's degree,free/reduced,none,53,70,70
+male,group D,some high school,standard,none,73,66,62
+female,group D,some college,standard,completed,74,75,79
+female,group C,some college,standard,none,63,74,74
+male,group C,bachelor's degree,standard,completed,96,90,92
+female,group D,some college,free/reduced,completed,63,80,80
+male,group B,bachelor's degree,free/reduced,none,48,51,46
+male,group B,associate's degree,standard,none,48,43,45
+female,group E,bachelor's degree,free/reduced,completed,92,100,100
+female,group D,master's degree,free/reduced,completed,61,71,78
+male,group B,high school,free/reduced,none,63,48,47
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+male,group B,some college,standard,completed,71,75,70
+male,group A,bachelor's degree,standard,none,91,96,92
+female,group C,some college,standard,none,53,62,56
+female,group C,high school,free/reduced,completed,50,66,64
+female,group E,high school,standard,none,74,81,71
+male,group A,associate's degree,free/reduced,completed,40,55,53
+male,group A,some college,standard,completed,61,51,52
+female,group B,high school,standard,none,81,91,89
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+female,group D,master's degree,standard,none,53,61,68
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+female,group E,some high school,standard,none,77,79,80
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+female,group D,associate's degree,standard,completed,73,75,80
+female,group D,some college,standard,none,69,77,77
+female,group C,associate's degree,standard,none,65,76,76
+female,group A,high school,standard,none,55,73,73
+female,group C,bachelor's degree,free/reduced,none,44,63,62
+female,group C,some college,standard,none,54,64,65
+female,group A,some high school,standard,none,48,66,65
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+male,group E,bachelor's degree,standard,none,68,68,64
+female,group E,high school,standard,none,74,76,73
+female,group C,bachelor's degree,standard,completed,92,100,99
+female,group C,bachelor's degree,standard,completed,56,79,72
+male,group B,high school,free/reduced,none,30,24,15
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+female,group D,high school,standard,none,69,77,73
+female,group D,some high school,standard,none,65,82,81
+female,group D,master's degree,standard,none,54,60,63
+female,group C,high school,standard,none,29,29,30
+female,group E,some college,standard,none,76,78,80
+male,group D,high school,free/reduced,none,60,57,51
+male,group D,master's degree,free/reduced,completed,84,89,90
+male,group C,some high school,standard,none,75,72,62
+female,group C,associate's degree,standard,none,85,84,82
+female,group C,master's degree,free/reduced,none,40,58,54
+female,group E,some college,standard,none,61,64,62
+female,group B,associate's degree,standard,none,58,63,65
+male,group D,some college,free/reduced,completed,69,60,63
+female,group C,some college,standard,none,58,59,66
+male,group C,bachelor's degree,standard,completed,94,90,91
+female,group C,associate's degree,standard,none,65,77,74
+female,group A,associate's degree,standard,none,82,93,93
+female,group C,high school,standard,none,60,68,72
+female,group E,bachelor's degree,standard,none,37,45,38
+male,group D,bachelor's degree,standard,none,88,78,83
+male,group D,master's degree,standard,none,95,81,84
+male,group C,associate's degree,free/reduced,completed,65,73,68
+female,group C,high school,free/reduced,none,35,61,54
+male,group B,bachelor's degree,free/reduced,none,62,63,56
+male,group C,high school,free/reduced,completed,58,51,52
+male,group A,some college,standard,completed,100,96,86
+female,group E,bachelor's degree,free/reduced,none,61,58,62
+male,group D,some college,standard,completed,100,97,99
+male,group B,associate's degree,free/reduced,completed,69,70,63
+male,group D,associate's degree,standard,none,61,48,46
+male,group D,some college,free/reduced,none,49,57,46
+female,group C,some high school,standard,completed,44,51,55
+male,group D,some college,standard,none,67,64,70
+male,group B,high school,standard,none,79,60,65
+female,group B,bachelor's degree,standard,completed,66,74,81
+female,group C,high school,standard,none,75,88,85
+male,group D,some high school,standard,none,84,84,80
+male,group A,high school,standard,none,71,74,64
+female,group B,high school,free/reduced,completed,67,80,81
+female,group D,some high school,standard,completed,80,92,88
+male,group E,some college,standard,none,86,76,74
+female,group D,associate's degree,standard,none,76,74,73
+male,group D,high school,standard,none,41,52,51
+female,group D,associate's degree,free/reduced,completed,74,88,90
+female,group B,some high school,free/reduced,none,72,81,79
+female,group E,high school,standard,completed,74,79,80
+male,group B,high school,standard,none,70,65,60
+female,group B,bachelor's degree,standard,completed,65,81,81
+female,group D,associate's degree,standard,none,59,70,65
+female,group E,high school,free/reduced,none,64,62,68
+female,group B,high school,standard,none,50,53,55
+female,group D,some college,standard,completed,69,79,81
+male,group C,some high school,free/reduced,completed,51,56,53
+female,group A,high school,standard,completed,68,80,76
+female,group D,some college,standard,completed,85,86,98
+female,group A,associate's degree,standard,completed,65,70,74
+female,group B,some high school,standard,none,73,79,79
+female,group B,some college,standard,none,62,67,67
+male,group C,associate's degree,free/reduced,none,77,67,64
+male,group D,some high school,standard,none,69,66,61
+female,group D,associate's degree,free/reduced,none,43,60,58
+male,group D,associate's degree,standard,none,90,87,85
+male,group C,some college,free/reduced,none,74,77,73
+male,group C,some high school,standard,none,73,66,63
+female,group D,some college,free/reduced,none,55,71,69
+female,group C,high school,standard,none,65,69,67
+male,group D,associate's degree,standard,none,80,63,63
+female,group C,some high school,free/reduced,completed,50,60,60
+female,group C,some college,free/reduced,completed,63,73,71
+female,group B,bachelor's degree,free/reduced,none,77,85,87
+male,group C,some college,standard,none,73,74,61
+male,group D,associate's degree,standard,completed,81,72,77
+female,group C,high school,free/reduced,none,66,76,68
+male,group D,associate's degree,free/reduced,none,52,57,50
+female,group C,some college,standard,none,69,78,76
+female,group C,associate's degree,standard,completed,65,84,84
+female,group D,high school,standard,completed,69,77,78
+female,group B,some college,standard,completed,50,64,66
+female,group E,some college,standard,completed,73,78,76
+female,group C,some high school,standard,completed,70,82,76
+male,group D,associate's degree,free/reduced,none,81,75,78
+male,group D,some college,free/reduced,none,63,61,60
+female,group D,high school,standard,none,67,72,74
+male,group B,high school,standard,none,60,68,60
+male,group B,high school,standard,none,62,55,54
+female,group C,some high school,free/reduced,completed,29,40,44
+male,group B,some college,standard,completed,62,66,68
+female,group E,master's degree,standard,completed,94,99,100
+male,group E,some college,standard,completed,85,75,68
+male,group D,associate's degree,free/reduced,none,77,78,73
+male,group A,high school,free/reduced,none,53,58,44
+male,group E,some college,free/reduced,none,93,90,83
+female,group C,associate's degree,standard,none,49,53,53
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+female,group C,bachelor's degree,free/reduced,completed,66,74,81
+female,group D,associate's degree,standard,none,77,77,73
+female,group C,some high school,standard,none,49,63,56
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+female,group A,bachelor's degree,standard,none,59,72,70
+female,group D,associate's degree,standard,completed,57,78,79
+male,group C,high school,free/reduced,none,66,66,59
+female,group E,bachelor's degree,standard,completed,79,81,82
+female,group B,some high school,standard,none,57,67,72
+male,group A,bachelor's degree,standard,completed,87,84,87
+female,group D,some college,standard,none,63,64,67
+female,group B,some high school,free/reduced,completed,59,63,64
+male,group A,bachelor's degree,free/reduced,none,62,72,65
+male,group D,high school,standard,none,46,34,36
+male,group C,some college,standard,none,66,59,52
+male,group D,high school,standard,none,89,87,79
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+female,group D,some college,standard,none,98,100,99
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+female,group B,some high school,standard,completed,60,70,74
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+male,group C,associate's degree,standard,completed,73,78,72
+female,group C,associate's degree,standard,completed,96,96,99
+female,group C,high school,standard,none,76,76,74
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+male,group C,high school,standard,none,50,48,42
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+male,group E,some high school,standard,completed,68,51,57
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+male,group C,some college,standard,none,53,39,37
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+male,group A,some high school,free/reduced,none,55,46,43
+female,group C,some college,standard,completed,87,89,94
+male,group D,some high school,standard,none,55,47,44
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+male,group C,master's degree,standard,none,67,57,59
+male,group C,associate's degree,standard,none,92,79,84
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+male,group D,associate's degree,standard,none,81,71,73
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+male,group D,bachelor's degree,standard,none,80,73,72
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+female,group C,high school,standard,none,81,84,82
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+male,group D,associate's degree,standard,none,72,79,74
+male,group D,high school,standard,none,69,75,71
+male,group C,some college,standard,none,69,64,68
+female,group C,bachelor's degree,free/reduced,none,50,60,59
+male,group B,some college,standard,completed,87,84,86
+male,group D,some high school,standard,completed,71,69,68
+male,group E,some college,standard,none,68,72,65
+male,group C,master's degree,free/reduced,completed,79,77,75
+female,group C,some high school,standard,completed,77,90,85
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+female,group E,associate's degree,standard,none,84,95,92
+male,group D,some college,standard,none,55,58,52
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+female,group D,some college,free/reduced,completed,52,59,65
+male,group B,some college,standard,completed,69,77,77
+female,group C,high school,free/reduced,none,53,72,64
+female,group D,some high school,standard,none,48,58,54
+male,group D,some high school,standard,completed,78,81,86
+female,group B,high school,standard,none,62,62,63
+male,group D,some college,standard,none,60,63,59
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+female,group C,high school,standard,completed,58,75,77
+male,group B,high school,standard,completed,76,62,60
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+male,group A,some college,free/reduced,none,58,60,57
+male,group B,high school,standard,none,52,48,49
+male,group D,bachelor's degree,standard,none,75,73,74
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+female,group C,bachelor's degree,free/reduced,none,62,78,79
+male,group B,some college,standard,none,66,65,60
+female,group B,some high school,free/reduced,none,49,58,55
+female,group B,high school,standard,none,66,72,70
+female,group C,some college,free/reduced,none,35,44,43
+female,group A,some college,standard,completed,72,79,82
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+female,group B,high school,free/reduced,completed,76,85,82
+female,group C,associate's degree,standard,completed,52,59,62
+male,group C,bachelor's degree,standard,completed,91,81,79
+female,group B,some high school,standard,completed,32,51,44
+female,group E,some high school,free/reduced,none,72,79,77
+female,group B,some college,standard,none,19,38,32
+male,group C,associate's degree,free/reduced,none,68,65,61
+female,group C,master's degree,free/reduced,none,52,65,61
+female,group B,high school,standard,none,48,62,60
+female,group D,some college,free/reduced,none,60,66,70
+male,group D,high school,free/reduced,none,66,74,69
+male,group E,some high school,standard,completed,89,84,77
+female,group B,high school,standard,none,42,52,51
+female,group E,associate's degree,free/reduced,completed,57,68,73
+male,group D,high school,standard,none,70,70,70
+female,group E,associate's degree,free/reduced,none,70,84,81
+male,group E,some college,standard,none,69,60,54
+female,group C,associate's degree,standard,none,52,55,57
+male,group C,some high school,standard,completed,67,73,68
+male,group C,some high school,standard,completed,76,80,73
+female,group E,associate's degree,standard,none,87,94,95
+female,group B,some college,standard,none,82,85,87
+female,group C,some college,standard,none,73,76,78
+male,group A,some college,free/reduced,none,75,81,74
+female,group D,some college,free/reduced,none,64,74,75
+female,group E,high school,free/reduced,none,41,45,40
+male,group C,high school,standard,none,90,75,69
+male,group B,bachelor's degree,standard,none,59,54,51
+male,group A,some high school,standard,none,51,31,36
+male,group A,high school,free/reduced,none,45,47,49
+female,group C,master's degree,standard,completed,54,64,67
+male,group E,some high school,standard,completed,87,84,76
+female,group C,high school,standard,none,72,80,83
+male,group B,some high school,standard,completed,94,86,87
+female,group A,bachelor's degree,standard,none,45,59,64
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+female,group B,high school,free/reduced,none,60,72,68
+female,group C,some high school,standard,none,77,91,88
+female,group A,some high school,standard,completed,85,90,92
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+male,group E,some college,free/reduced,completed,49,52,51
+female,group B,high school,free/reduced,none,71,87,82
+female,group C,some high school,free/reduced,none,48,58,52
+male,group C,high school,standard,none,62,67,58
+female,group C,associate's degree,free/reduced,completed,56,68,70
+female,group C,some high school,standard,none,65,69,76
+female,group D,some high school,free/reduced,completed,69,86,81
+male,group B,some high school,standard,none,68,54,53
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+female,group C,bachelor's degree,free/reduced,completed,74,86,89
+male,group A,bachelor's degree,standard,none,64,60,58
+female,group B,high school,standard,completed,77,82,89
+male,group B,some college,standard,none,58,50,45
+female,group C,high school,standard,completed,60,64,74
+male,group E,high school,standard,none,73,64,57
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+male,group B,associate's degree,free/reduced,completed,58,57,53
+female,group C,associate's degree,standard,none,66,77,73
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+male,group C,some high school,standard,none,64,58,51
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+male,group B,some college,free/reduced,completed,74,77,76
+female,group D,some high school,free/reduced,completed,40,65,64
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+male,group C,master's degree,standard,completed,91,85,85
+male,group D,high school,standard,none,64,54,50
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+female,group A,high school,standard,none,61,68,63
+female,group E,some college,standard,none,87,85,93
+male,group E,some high school,standard,none,82,67,61
+male,group C,some high school,standard,none,62,64,55
+female,group B,bachelor's degree,standard,none,97,97,96
+male,group B,some college,free/reduced,none,75,68,65
+female,group C,bachelor's degree,standard,none,65,79,81
+male,group B,high school,standard,completed,52,49,46
+male,group C,associate's degree,free/reduced,none,87,73,72
+female,group C,associate's degree,standard,none,53,62,53
+female,group E,master's degree,free/reduced,none,81,86,87
+male,group D,bachelor's degree,free/reduced,completed,39,42,38
+female,group C,some college,standard,completed,71,71,80
+male,group C,associate's degree,standard,none,97,93,91
+male,group D,some college,standard,completed,82,82,88
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+male,group B,associate's degree,standard,none,61,42,41
+male,group E,associate's degree,free/reduced,completed,78,74,72
+male,group C,associate's degree,free/reduced,none,49,51,51
+male,group B,high school,standard,none,59,58,47
+female,group C,some college,standard,completed,70,72,76
+male,group B,associate's degree,standard,completed,82,84,78
+male,group E,associate's degree,free/reduced,none,90,90,82
+female,group C,bachelor's degree,free/reduced,none,43,62,61
+male,group C,some college,free/reduced,none,80,64,66
+male,group D,some college,standard,none,81,82,84
+male,group C,some high school,standard,none,57,61,54
+female,group D,some high school,standard,none,59,72,80
+female,group D,associate's degree,standard,none,64,76,74
+male,group C,bachelor's degree,standard,completed,63,64,66
+female,group E,bachelor's degree,standard,completed,71,70,70
+female,group B,high school,free/reduced,none,64,73,71
+male,group D,bachelor's degree,free/reduced,none,55,46,44
+female,group E,associate's degree,standard,none,51,51,54
+female,group C,associate's degree,standard,completed,62,76,80
+female,group E,associate's degree,standard,completed,93,100,95
+male,group C,high school,free/reduced,none,54,72,59
+female,group D,some college,free/reduced,none,69,65,74
+male,group D,high school,free/reduced,none,44,51,48
+female,group E,some college,standard,completed,86,85,91
+female,group E,associate's degree,standard,none,85,92,85
+female,group A,master's degree,free/reduced,none,50,67,73
+male,group D,some high school,standard,completed,88,74,75
+female,group E,associate's degree,standard,none,59,62,69
+female,group E,some high school,free/reduced,none,32,34,38
+male,group B,high school,free/reduced,none,36,29,27
+female,group B,some high school,free/reduced,completed,63,78,79
+male,group D,associate's degree,standard,completed,67,54,63
+female,group D,some high school,standard,completed,65,78,82
+male,group D,master's degree,standard,none,85,84,89
+female,group C,master's degree,standard,none,73,78,74
+female,group A,high school,free/reduced,completed,34,48,41
+female,group D,bachelor's degree,free/reduced,completed,93,100,100
+female,group D,some high school,free/reduced,none,67,84,84
+male,group D,some college,standard,none,88,77,77
+male,group B,high school,standard,none,57,48,51
+female,group D,some college,standard,completed,79,84,91
+female,group C,bachelor's degree,free/reduced,none,67,75,72
+male,group E,bachelor's degree,standard,completed,70,64,70
+male,group D,bachelor's degree,free/reduced,none,50,42,48
+female,group A,some college,standard,none,69,84,82
+female,group C,bachelor's degree,standard,completed,52,61,66
+female,group C,bachelor's degree,free/reduced,completed,47,62,66
+female,group B,associate's degree,free/reduced,none,46,61,55
+female,group E,some college,standard,none,68,70,66
+male,group E,bachelor's degree,standard,completed,100,100,100
+female,group C,high school,standard,none,44,61,52
+female,group C,associate's degree,standard,completed,57,77,80
+male,group B,some college,standard,completed,91,96,91
+male,group D,high school,free/reduced,none,69,70,67
+female,group C,high school,free/reduced,none,35,53,46
+male,group D,high school,standard,none,72,66,66
+female,group B,associate's degree,free/reduced,none,54,65,65
+male,group D,high school,free/reduced,none,74,70,69
+male,group E,some high school,standard,completed,74,64,60
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+female,group D,high school,free/reduced,completed,65,61,71
+male,group E,associate's degree,free/reduced,completed,46,43,44
+female,group C,some high school,free/reduced,none,48,56,51
+male,group C,some college,free/reduced,completed,67,74,70
+male,group D,some college,free/reduced,none,62,57,62
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+male,group C,bachelor's degree,free/reduced,completed,70,75,74
+male,group C,associate's degree,standard,completed,98,87,90
+male,group D,some college,free/reduced,none,70,63,58
+male,group A,associate's degree,standard,none,67,57,53
+female,group E,high school,free/reduced,none,57,58,57
+male,group D,some college,standard,completed,85,81,85
+male,group D,some high school,standard,completed,77,68,69
+male,group C,master's degree,free/reduced,completed,72,66,72
+female,group D,master's degree,standard,none,78,91,96
+male,group C,high school,standard,none,81,66,64
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+female,group B,high school,standard,none,58,68,61
+female,group C,associate's degree,standard,none,54,61,58
+male,group B,high school,standard,none,82,82,80
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+male,group B,some high school,free/reduced,completed,49,50,52
+female,group E,high school,free/reduced,completed,57,75,73
+male,group E,high school,standard,none,94,73,71
+female,group D,some college,standard,completed,75,77,83
+female,group E,some high school,free/reduced,none,74,74,72
+male,group C,high school,standard,completed,58,52,54
+female,group C,some college,standard,none,62,69,69
+male,group E,associate's degree,standard,none,72,57,62
+male,group C,some college,standard,none,84,87,81
+female,group D,master's degree,standard,none,92,100,100
+female,group D,high school,standard,none,45,63,59
+male,group C,high school,standard,none,75,81,71
+female,group A,some college,standard,none,56,58,64
+female,group D,some high school,free/reduced,none,48,54,53
+female,group E,associate's degree,standard,none,100,100,100
+female,group C,some high school,free/reduced,completed,65,76,75
+male,group D,some college,standard,none,72,57,58
+female,group D,some college,standard,none,62,70,72
+male,group A,some high school,standard,completed,66,68,64
+male,group C,some college,standard,none,63,63,60
+female,group E,associate's degree,standard,none,68,76,67
+female,group B,bachelor's degree,standard,none,75,84,80
+female,group D,bachelor's degree,standard,none,89,100,100
+male,group C,some high school,standard,completed,78,72,69
+female,group A,high school,free/reduced,completed,53,50,60
+female,group D,some college,free/reduced,none,49,65,61
+female,group A,some college,standard,none,54,63,67
+female,group C,some college,standard,completed,64,82,77
+male,group B,some college,free/reduced,completed,60,62,60
+male,group C,associate's degree,standard,none,62,65,58
+male,group D,high school,standard,completed,55,41,48
+female,group C,associate's degree,standard,none,91,95,94
+female,group B,high school,free/reduced,none,8,24,23
+male,group D,some high school,standard,none,81,78,78
+male,group B,some high school,standard,completed,79,85,86
+female,group A,some college,standard,completed,78,87,91
+female,group C,some high school,standard,none,74,75,82
+male,group A,high school,standard,none,57,51,54
+female,group C,associate's degree,standard,none,40,59,51
+male,group E,some high school,standard,completed,81,75,76
+female,group A,some high school,free/reduced,none,44,45,45
+female,group D,some college,free/reduced,completed,67,86,83
+male,group E,high school,free/reduced,completed,86,81,75
+female,group B,some high school,standard,completed,65,82,78
+female,group D,associate's degree,free/reduced,none,55,76,76
+female,group D,bachelor's degree,free/reduced,none,62,72,74
+male,group A,high school,standard,none,63,63,62
+female,group E,master's degree,standard,completed,88,99,95
+male,group C,high school,free/reduced,none,62,55,55
+female,group C,high school,free/reduced,completed,59,71,65
+female,group D,some college,standard,completed,68,78,77
+female,group D,some college,free/reduced,none,77,86,86

artifacts/test.csv

@@ -0,0 +1,201 @@
+gender,race/ethnicity,parental level of education,lunch,test preparation course,math score,reading score,writing score
+female,group C,associate's degree,standard,none,91,86,84
+female,group B,some college,free/reduced,completed,53,66,73
+male,group D,bachelor's degree,standard,none,80,73,72
+male,group C,some college,free/reduced,none,74,77,73
+male,group E,some college,standard,completed,84,83,78
+male,group D,associate's degree,free/reduced,none,81,75,78
+male,group B,associate's degree,free/reduced,completed,69,70,63
+female,group B,some high school,standard,completed,54,61,62
+male,group C,associate's degree,free/reduced,none,87,73,72
+male,group B,some high school,standard,completed,51,54,41
+male,group A,high school,free/reduced,none,45,47,49
+male,group E,some high school,standard,none,30,26,22
+female,group B,high school,free/reduced,completed,67,80,81
+female,group D,some college,free/reduced,none,49,65,61
+male,group D,some college,standard,completed,85,81,85
+female,group D,some high school,standard,completed,65,78,82
+male,group D,high school,standard,none,53,52,42
+male,group D,bachelor's degree,free/reduced,none,55,46,44
+female,group D,some high school,standard,none,48,58,54
+female,group D,associate's degree,free/reduced,none,56,65,63
+male,group C,master's degree,standard,none,79,72,69
+female,group C,bachelor's degree,free/reduced,completed,43,51,54
+female,group C,some college,free/reduced,completed,45,73,70
+female,group C,high school,free/reduced,none,36,53,43
+male,group D,some high school,free/reduced,completed,80,79,79
+male,group D,associate's degree,standard,none,80,75,77
+male,group D,bachelor's degree,standard,completed,68,74,74
+female,group C,associate's degree,standard,none,40,59,51
+female,group A,high school,free/reduced,completed,34,48,41
+female,group D,some college,free/reduced,none,49,58,60
+male,group B,some college,standard,none,62,61,57
+male,group D,some college,standard,completed,71,61,69
+male,group B,bachelor's degree,free/reduced,none,62,63,56
+male,group E,some college,standard,none,76,71,72
+male,group E,some college,standard,none,84,77,71
+female,group B,some college,free/reduced,none,45,53,55
+male,group D,associate's degree,free/reduced,none,77,78,73
+female,group D,some college,standard,none,69,77,77
+female,group C,master's degree,standard,none,73,78,74
+female,group C,some high school,free/reduced,none,0,17,10
+male,group C,associate's degree,standard,completed,82,75,77
+male,group B,some high school,standard,completed,65,66,62
+male,group D,bachelor's degree,standard,completed,67,61,68
+female,group A,some college,standard,none,54,63,67
+male,group D,associate's degree,free/reduced,none,90,87,75
+female,group E,high school,standard,completed,59,63,75
+male,group D,high school,free/reduced,none,74,70,69
+female,group C,high school,standard,none,29,29,30
+male,group D,some high school,standard,completed,89,88,82
+female,group A,high school,standard,completed,75,82,79
+male,group B,some college,standard,completed,71,75,70
+female,group D,associate's degree,standard,none,64,76,74
+male,group C,some college,standard,completed,79,79,78
+female,group B,some college,free/reduced,completed,48,56,58
+female,group C,some high school,standard,none,69,73,73
+female,group D,some college,standard,none,69,74,74
+male,group D,bachelor's degree,standard,none,88,78,83
+male,group C,associate's degree,standard,none,58,54,52
+male,group B,associate's degree,standard,none,87,85,73
+female,group A,some high school,standard,completed,85,90,92
+male,group A,some high school,standard,completed,46,41,43
+female,group C,some high school,free/reduced,completed,71,84,87
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+male,group E,associate's degree,standard,completed,66,63,64
+female,group C,bachelor's degree,standard,none,81,88,90
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+male,group C,some high school,standard,completed,63,60,57
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+female,group D,some college,standard,completed,85,86,98
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+male,group B,bachelor's degree,standard,none,63,71,69
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+female,group C,some high school,standard,completed,77,90,85
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+female,group E,some college,standard,none,100,92,97
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+female,group A,some college,standard,none,58,70,67
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+female,group C,associate's degree,free/reduced,completed,56,68,70
+male,group C,associate's degree,standard,completed,73,78,72
+male,group E,some college,standard,none,66,57,52
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+female,group C,associate's degree,free/reduced,none,64,73,68
+male,group A,high school,standard,none,71,74,64
+male,group B,high school,standard,none,70,65,60
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+male,group C,high school,standard,none,75,81,71
+female,group B,high school,standard,completed,68,83,78
+female,group C,high school,standard,none,44,61,52
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+male,group A,high school,standard,none,57,51,54
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+male,group D,master's degree,standard,none,81,81,84
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+female,group D,some high school,standard,completed,64,60,74
+male,group D,some high school,standard,none,73,66,62
+female,group D,associate's degree,standard,completed,73,75,80
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+male,group B,associate's degree,standard,none,61,42,41
+male,group C,some high school,standard,completed,67,73,68
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+female,group C,high school,free/reduced,none,33,41,43
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+female,group E,associate's degree,free/reduced,none,50,56,54
+female,group B,high school,standard,completed,58,70,68
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+male,group D,some high school,standard,completed,88,74,75
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+male,group A,some high school,standard,none,51,31,36
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+male,group E,some college,free/reduced,completed,49,52,51
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+female,group E,high school,standard,completed,74,79,80
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+male,group C,associate's degree,standard,none,62,65,58
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+male,group E,bachelor's degree,free/reduced,completed,79,74,72
+female,group E,associate's degree,standard,none,51,51,54
+female,group C,bachelor's degree,standard,completed,56,79,72
+male,group B,high school,standard,completed,76,62,60
+female,group D,some college,standard,completed,69,79,81
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+male,group D,some college,standard,completed,82,82,88
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+male,group E,some college,free/reduced,none,93,90,83
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+female,group B,associate's degree,standard,none,73,76,80
+male,group B,some high school,standard,completed,85,84,78
+male,group E,associate's degree,standard,none,76,71,67
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+female,group E,associate's degree,standard,none,87,94,95
+female,group C,some high school,standard,completed,70,82,76
+female,group B,high school,standard,none,54,64,68
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+female,group B,bachelor's degree,standard,none,61,72,70
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+male,group C,high school,standard,none,81,66,64
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+male,group C,associate's degree,free/reduced,none,77,67,64
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+female,group D,high school,free/reduced,completed,52,57,56
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+female,group B,some college,free/reduced,none,74,81,76
+female,group C,associate's degree,standard,none,65,77,74
+female,group D,some high school,standard,completed,61,74,72

artifacts/train.csv

@@ -0,0 +1,801 @@
+gender,race/ethnicity,parental level of education,lunch,test preparation course,math score,reading score,writing score
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+female,group D,some college,free/reduced,none,79,89,86
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+male,group E,high school,standard,none,73,64,57
+male,group B,high school,free/reduced,none,30,24,15
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+female,group C,associate's degree,standard,completed,57,77,80
+male,group D,high school,standard,completed,68,64,66
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+male,group B,some high school,standard,none,67,64,61
+female,group C,some college,free/reduced,none,59,62,64
+male,group E,some high school,standard,completed,74,64,60
+female,group C,some high school,standard,none,65,69,76
+female,group B,some college,standard,none,62,67,67
+male,group C,associate's degree,standard,none,47,37,35
+male,group D,associate's degree,standard,none,80,63,63
+male,group C,high school,standard,none,68,60,53
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+male,group A,some college,standard,none,69,67,69
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+female,group C,some college,standard,completed,64,82,77
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+female,group B,master's degree,standard,none,90,95,93
+female,group D,master's degree,standard,none,64,63,66
+female,group B,bachelor's degree,standard,none,52,65,69
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+male,group C,associate's degree,standard,completed,51,60,58
+male,group D,some college,standard,none,79,73,67
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+female,group B,some college,standard,none,63,65,61
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+female,group B,some high school,standard,none,62,64,66
+male,group B,associate's degree,standard,none,90,78,81
+male,group A,associate's degree,free/reduced,none,47,57,44
+male,group C,some college,standard,none,59,41,42
+female,group B,master's degree,free/reduced,completed,77,97,94
+female,group C,associate's degree,standard,none,52,55,57
+male,group E,some college,standard,completed,99,87,81
+female,group B,some high school,standard,none,70,64,72
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+male,group E,associate's degree,standard,completed,97,82,88
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+female,group B,some high school,standard,completed,65,82,78
+female,group C,master's degree,free/reduced,none,52,65,61
+female,group E,associate's degree,standard,none,59,62,69
+male,group B,some high school,standard,none,74,63,57
+female,group C,some high school,free/reduced,none,43,53,53
+female,group B,high school,free/reduced,completed,67,78,79
+male,group E,bachelor's degree,standard,completed,100,100,100
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+male,group A,some high school,free/reduced,none,55,46,43
+female,group C,some college,standard,none,84,87,91
+female,group E,some college,standard,completed,63,72,70
+female,group C,bachelor's degree,standard,none,63,75,81
+female,group C,some college,free/reduced,completed,42,66,69
+male,group E,associate's degree,free/reduced,completed,78,74,72
+male,group E,some college,standard,none,69,60,54
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+male,group B,high school,standard,none,79,60,65
+male,group C,associate's degree,standard,completed,87,100,95
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+male,group C,associate's degree,standard,none,76,70,68
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+female,group C,associate's degree,standard,completed,96,96,99
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+male,group A,bachelor's degree,standard,completed,75,58,62
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+female,group C,bachelor's degree,standard,completed,92,100,99
+female,group C,associate's degree,standard,completed,68,67,73
+female,group E,some high school,standard,none,77,79,80
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+male,group B,high school,standard,none,47,46,42
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+male,group A,high school,standard,none,68,70,66
+female,group B,high school,standard,completed,69,76,74
+male,group C,high school,standard,none,70,74,71
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+female,group C,some college,standard,completed,75,81,84
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+male,group B,bachelor's degree,standard,none,66,60,57
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+female,group C,some high school,standard,completed,44,51,55
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+female,group D,master's degree,standard,completed,77,82,91
+male,group D,high school,standard,none,46,34,36
+male,group C,high school,standard,completed,72,67,64
+male,group B,associate's degree,standard,completed,82,84,78
+male,group E,associate's degree,standard,completed,62,61,58
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+female,group B,high school,standard,none,87,95,86
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+female,group D,bachelor's degree,free/reduced,completed,93,100,100
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+male,group B,some college,standard,completed,88,85,76
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+male,group D,some high school,standard,none,86,73,70
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+male,group A,some college,free/reduced,completed,81,78,81
+male,group B,some college,free/reduced,none,41,39,34
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+female,group D,high school,standard,none,62,64,64
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+female,group C,some high school,standard,none,47,54,53
+male,group D,master's degree,standard,none,95,81,84
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+male,group E,associate's degree,free/reduced,none,64,56,52
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+male,group E,associate's degree,free/reduced,completed,77,69,68
+male,group B,bachelor's degree,free/reduced,none,55,59,54
+female,group D,some college,standard,none,74,89,84
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+male,group D,high school,standard,none,76,73,68
+male,group D,bachelor's degree,free/reduced,completed,61,70,76
+male,group C,some college,standard,completed,93,84,90
+male,group B,high school,standard,none,62,55,54
+male,group A,bachelor's degree,standard,none,64,60,58
+female,group D,some high school,standard,completed,66,78,78
+male,group C,high school,standard,completed,86,81,80
+male,group C,master's degree,free/reduced,completed,46,42,46
+female,group B,associate's degree,free/reduced,completed,76,94,87
+male,group A,high school,standard,none,59,52,46
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+female,group A,some high school,free/reduced,none,47,59,50
+male,group C,bachelor's degree,free/reduced,none,61,66,61
+male,group E,associate's degree,standard,none,72,64,63
+male,group A,some high school,free/reduced,none,39,39,34
+male,group E,some college,standard,none,86,76,74
+female,group D,associate's degree,free/reduced,none,47,53,58
+male,group B,associate's degree,standard,completed,81,82,82
+female,group B,high school,standard,none,58,62,59
+female,group C,some college,standard,none,59,71,70
+female,group D,bachelor's degree,standard,none,79,89,89
+female,group C,some high school,free/reduced,none,65,86,80
+female,group B,high school,standard,none,65,81,73
+female,group E,high school,standard,none,50,50,47
+female,group A,some high school,free/reduced,none,44,64,58
+female,group E,bachelor's degree,standard,completed,71,70,70
+female,group C,high school,standard,none,60,68,72
+male,group D,some high school,standard,none,86,80,75
+female,group C,some college,standard,none,53,62,56
+female,group D,bachelor's degree,standard,none,89,100,100
+female,group A,associate's degree,standard,completed,65,70,74
+male,group E,some high school,free/reduced,completed,78,83,80
+female,group D,bachelor's degree,free/reduced,none,63,73,78
+female,group C,high school,standard,none,75,88,85
+female,group B,high school,free/reduced,completed,46,54,58
+female,group C,some high school,free/reduced,completed,50,60,60
+female,group C,associate's degree,standard,completed,65,84,84
+female,group C,associate's degree,standard,none,65,76,76
+male,group E,associate's degree,free/reduced,none,90,90,82
+male,group C,associate's degree,standard,completed,57,54,56
+male,group C,high school,standard,none,52,53,49
+female,group B,high school,standard,none,65,64,62
+male,group D,some high school,standard,none,84,84,80
+female,group C,associate's degree,standard,completed,62,76,80
+male,group D,associate's degree,standard,completed,81,72,77
+male,group E,associate's degree,free/reduced,none,46,43,41
+male,group D,associate's degree,standard,none,71,66,60
+male,group C,some high school,standard,none,49,49,41
+female,group D,some college,standard,none,51,58,54
+female,group D,high school,standard,none,69,77,73
+female,group D,some high school,free/reduced,none,48,54,53
+male,group E,some high school,free/reduced,completed,73,67,59
+male,group C,some college,standard,completed,98,86,90
+female,group E,bachelor's degree,standard,completed,99,100,100
+male,group C,associate's degree,standard,none,74,73,67
+male,group E,some college,standard,none,68,60,59
+male,group D,associate's degree,free/reduced,none,53,54,48
+male,group D,associate's degree,standard,completed,87,84,85
+male,group C,high school,standard,none,71,79,71
+male,group C,some college,free/reduced,completed,67,74,70
+female,group D,some high school,standard,none,73,86,82
+male,group D,some high school,standard,completed,76,70,69
+female,group A,some high school,free/reduced,none,44,45,45
+female,group C,high school,free/reduced,none,35,53,46
+male,group C,bachelor's degree,free/reduced,completed,70,75,74
+male,group C,some high school,standard,none,75,72,62
+female,group E,high school,standard,none,74,76,73
+female,group C,some college,standard,none,58,59,66
+female,group B,some college,standard,none,79,86,92
+male,group D,associate's degree,standard,none,40,52,43
+female,group B,high school,free/reduced,none,50,67,63
+female,group E,associate's degree,standard,completed,79,88,94
+male,group B,some college,free/reduced,completed,59,65,66
+female,group B,associate's degree,standard,none,53,58,65
+female,group B,some high school,standard,none,41,55,51
+female,group B,master's degree,free/reduced,completed,58,76,78
+female,group D,some college,free/reduced,completed,59,78,76
+male,group D,some college,standard,none,81,82,84
+male,group A,some high school,standard,none,53,54,48
+male,group D,some college,standard,none,55,58,52
+male,group B,some college,standard,none,79,67,67
+male,group C,bachelor's degree,standard,none,86,83,86
+female,group B,master's degree,free/reduced,completed,52,70,62
+male,group A,some high school,free/reduced,none,79,82,73
+male,group C,bachelor's degree,standard,completed,71,74,68
+male,group B,high school,standard,none,59,58,47
+female,group B,high school,free/reduced,none,64,73,71
+female,group D,high school,standard,none,67,72,74
+female,group C,associate's degree,standard,completed,71,77,77
+male,group A,high school,free/reduced,none,48,45,41
+female,group A,some college,standard,none,69,84,82
+male,group E,some high school,standard,completed,89,84,77
+female,group A,some college,standard,none,56,58,64
+male,group B,some college,standard,completed,62,66,68
+female,group E,some high school,free/reduced,none,38,49,45
+male,group C,some college,standard,none,84,87,81
+male,group E,some college,standard,none,68,72,65
+male,group C,associate's degree,standard,completed,78,77,77
+male,group E,bachelor's degree,standard,completed,85,66,71
+female,group B,some college,free/reduced,none,61,68,66
+female,group C,some high school,standard,none,69,75,78
+female,group C,high school,free/reduced,none,41,46,43
+female,group D,some college,free/reduced,completed,52,59,65
+female,group C,some high school,free/reduced,none,55,65,62
+female,group D,some high school,standard,completed,97,100,100
+female,group A,some college,standard,completed,78,87,91
+male,group D,some college,standard,none,44,54,53
+male,group A,associate's degree,standard,none,63,61,61
+female,group C,some college,free/reduced,completed,63,73,71
+female,group E,master's degree,free/reduced,none,81,86,87
+male,group C,high school,free/reduced,none,58,61,52
+female,group C,high school,standard,none,61,72,70
+male,group B,bachelor's degree,free/reduced,completed,87,90,88
+female,group B,high school,standard,completed,77,82,89
+female,group B,associate's degree,standard,none,57,69,68
+male,group D,some college,standard,none,67,64,70
+male,group C,associate's degree,free/reduced,completed,43,45,50
+female,group B,associate's degree,free/reduced,none,53,70,70
+male,group B,associate's degree,free/reduced,none,61,58,56
+male,group C,high school,free/reduced,completed,58,51,52
+female,group B,some high school,standard,none,37,46,46
+female,group D,some high school,free/reduced,completed,40,65,64
+male,group C,some high school,standard,none,73,66,66
+male,group D,bachelor's degree,standard,none,54,49,47
+male,group B,associate's degree,free/reduced,none,44,41,38
+female,group B,associate's degree,free/reduced,completed,68,77,80
+male,group D,some college,free/reduced,none,69,66,60
+male,group B,some high school,free/reduced,none,48,52,45
+male,group C,some college,standard,none,58,49,42
+male,group D,bachelor's degree,free/reduced,none,63,66,67
+female,group C,associate's degree,free/reduced,none,60,75,74
+female,group D,bachelor's degree,standard,none,78,82,79
+male,group A,some high school,free/reduced,completed,61,62,61
+male,group D,some high school,free/reduced,none,62,49,52
+male,group C,high school,standard,none,62,67,58
+male,group A,some high school,standard,none,71,62,50
+male,group B,some high school,standard,none,72,68,67
+female,group B,bachelor's degree,free/reduced,none,75,85,82
+female,group D,some high school,standard,none,59,67,61
+female,group D,associate's degree,standard,none,77,77,73
+male,group D,associate's degree,standard,none,52,55,49
+female,group C,some college,standard,completed,71,71,80
+female,group C,bachelor's degree,standard,completed,52,61,66
+female,group D,some high school,standard,none,73,84,85
+female,group D,associate's degree,standard,completed,88,92,95
+female,group A,associate's degree,standard,completed,55,65,62
+male,group E,associate's degree,standard,none,87,74,76
+male,group D,associate's degree,standard,none,61,55,52
+female,group D,some college,free/reduced,none,77,86,86
+male,group B,some college,standard,none,58,50,45
+male,group C,associate's degree,standard,none,92,79,84
+female,group E,high school,standard,none,99,93,90
+female,group B,associate's degree,standard,none,73,83,76
+female,group B,some college,standard,completed,50,64,66
+female,group C,associate's degree,standard,completed,74,75,83
+female,group C,high school,standard,none,61,73,63
+male,group A,some high school,standard,completed,66,68,64
+male,group E,associate's degree,free/reduced,completed,100,100,93
+male,group E,some college,standard,none,83,80,73
+female,group E,some high school,free/reduced,none,72,79,77
+male,group E,some college,standard,none,53,55,48
+female,group C,associate's degree,standard,none,46,58,57
+female,group D,high school,free/reduced,completed,65,61,71
+female,group E,some college,free/reduced,completed,42,55,54
+female,group C,associate's degree,standard,completed,83,85,90
+male,group D,some high school,standard,none,60,59,54
+male,group D,some college,standard,completed,100,97,99
+female,group C,high school,free/reduced,completed,67,79,84
+female,group C,associate's degree,free/reduced,none,54,58,61
+male,group B,bachelor's degree,standard,none,59,54,51
+female,group B,high school,standard,none,48,62,60
+male,group C,high school,standard,none,90,75,69
+female,group B,associate's degree,standard,none,82,80,77
+female,group D,high school,standard,none,51,66,62
+female,group C,high school,free/reduced,none,35,61,54
+female,group D,associate's degree,free/reduced,completed,75,90,88
+female,group C,master's degree,standard,completed,81,91,87
+male,group C,associate's degree,standard,none,85,76,71
+female,group D,some high school,free/reduced,completed,69,86,81
+female,group B,bachelor's degree,free/reduced,none,77,85,87
+male,group C,associate's degree,free/reduced,none,58,55,53
+male,group B,high school,standard,completed,52,49,46
+male,group D,some high school,standard,none,62,67,61
+female,group B,some high school,standard,none,67,89,82
+female,group E,some college,standard,none,76,78,80
+male,group D,bachelor's degree,free/reduced,none,68,68,67
+female,group C,associate's degree,standard,completed,59,73,72
+female,group B,some high school,free/reduced,none,18,32,28
+male,group D,some college,standard,completed,65,77,74
+female,group C,some college,standard,none,71,81,80
+female,group E,some college,standard,none,62,73,70
+male,group D,some high school,standard,none,69,66,61
+male,group D,some college,standard,none,72,57,58
+female,group E,associate's degree,standard,none,66,65,69
+male,group C,high school,standard,none,84,77,74
+female,group E,bachelor's degree,standard,none,37,45,38
+female,group C,associate's degree,standard,none,85,84,82
+male,group C,master's degree,free/reduced,completed,62,68,75
+male,group D,some high school,free/reduced,none,56,54,52
+male,group B,some college,standard,completed,69,77,77
+female,group D,some college,standard,none,98,100,99
+male,group C,high school,standard,none,50,48,42
+female,group E,master's degree,standard,completed,94,99,100
+female,group C,associate's degree,standard,none,91,95,94
+female,group E,some college,standard,completed,66,74,73
+female,group C,some high school,standard,none,74,75,82
+male,group B,associate's degree,standard,none,65,54,57
+male,group E,bachelor's degree,standard,completed,70,64,70
+male,group B,some college,free/reduced,none,60,60,60
+female,group A,high school,standard,none,61,68,63
+male,group E,some high school,standard,none,94,88,78
+male,group C,high school,standard,none,88,89,86
+male,group A,some high school,standard,none,64,50,43
+female,group D,associate's degree,free/reduced,completed,57,74,76
+male,group C,some high school,standard,completed,78,72,69
+male,group C,master's degree,free/reduced,completed,72,66,72
+female,group C,some high school,standard,completed,76,87,85
+female,group E,some high school,free/reduced,none,74,74,72
+male,group B,high school,standard,completed,73,71,68
+female,group D,some college,free/reduced,completed,70,78,78
+female,group C,high school,standard,none,76,76,74
+male,group C,some high school,standard,none,57,61,54
+female,group E,master's degree,free/reduced,none,45,56,54
+male,group B,some college,standard,none,69,54,55
+female,group C,some college,standard,none,62,69,69
+male,group D,associate's degree,free/reduced,none,75,66,73
+female,group D,some college,standard,completed,75,77,83
+male,group C,some college,standard,none,59,60,58
+female,group C,some college,standard,completed,88,95,94
+female,group D,some high school,free/reduced,none,50,64,59
+female,group D,some college,standard,none,62,70,72
+female,group D,bachelor's degree,standard,none,59,70,73
+male,group C,some college,standard,none,91,74,76
+male,group C,some college,standard,none,63,63,60
+male,group C,master's degree,standard,none,71,67,67
+female,group B,some high school,free/reduced,completed,59,63,64
+male,group C,some high school,standard,none,64,58,51
+female,group C,master's degree,standard,completed,69,84,85
+male,group C,some high school,standard,none,62,64,55
+male,group C,associate's degree,standard,none,97,93,91
+female,group E,associate's degree,standard,completed,95,89,92
+female,group B,bachelor's degree,standard,none,75,84,80
+female,group A,some college,free/reduced,none,61,60,57
+female,group D,master's degree,standard,none,53,61,68
+female,group E,associate's degree,standard,none,68,76,67
+male,group B,master's degree,free/reduced,none,49,53,52
+female,group C,bachelor's degree,free/reduced,none,67,75,72
+female,group B,associate's degree,standard,completed,59,70,66
+male,group C,some high school,standard,completed,76,80,73
+female,group D,bachelor's degree,free/reduced,none,62,72,74
+female,group E,associate's degree,standard,none,84,95,92
+male,group C,high school,standard,none,62,55,49
+female,group C,some college,standard,none,72,72,71
+male,group A,high school,free/reduced,none,53,58,44
+male,group B,high school,standard,completed,60,44,47
+female,group D,high school,standard,completed,57,58,64
+male,group E,high school,free/reduced,completed,57,56,54
+male,group D,some high school,standard,completed,71,69,68
+female,group A,high school,standard,none,55,73,73
+female,group D,associate's degree,free/reduced,none,46,56,57
+female,group C,some college,standard,none,69,78,76
+female,group C,some college,standard,none,55,69,65
+male,group D,high school,standard,none,88,78,75
+male,group A,bachelor's degree,standard,none,77,67,68
+female,group D,high school,standard,completed,88,99,100
+female,group C,associate's degree,standard,none,54,61,58
+male,group E,high school,standard,completed,81,80,76
+female,group D,associate's degree,free/reduced,none,43,60,58
+male,group B,some college,free/reduced,completed,74,77,76
+male,group D,some high school,standard,completed,78,81,86
+male,group D,high school,free/reduced,completed,64,64,67
+female,group E,high school,free/reduced,none,41,45,40
+female,group D,associate's degree,standard,none,74,81,83
+female,group C,associate's degree,free/reduced,none,65,77,74
+female,group A,high school,standard,completed,68,80,76
+male,group D,master's degree,standard,none,80,80,72
+male,group B,associate's degree,standard,none,80,76,64
+male,group D,high school,standard,none,69,75,71
+male,group A,bachelor's degree,standard,none,91,96,92
+male,group A,some college,standard,completed,100,96,86
+female,group C,some college,standard,completed,87,89,94
+female,group E,associate's degree,standard,none,85,92,85
+female,group C,some high school,free/reduced,none,44,50,51
+male,group D,some college,free/reduced,completed,69,60,63
+male,group E,associate's degree,standard,completed,71,74,68
+female,group C,bachelor's degree,free/reduced,completed,51,72,79
+male,group A,some high school,standard,completed,62,67,69
+male,group C,associate's degree,free/reduced,none,68,65,61
+male,group D,high school,standard,none,41,52,51
+male,group D,high school,free/reduced,none,44,51,48
+male,group C,some high school,free/reduced,none,79,76,65
+female,group E,associate's degree,standard,completed,93,100,95
+male,group B,some high school,standard,completed,64,53,57
+male,group C,associate's degree,free/reduced,none,73,68,66
+male,group B,some high school,standard,none,88,84,75
+female,group C,some college,free/reduced,none,62,72,70
+male,group D,some college,free/reduced,none,62,57,62
+male,group C,high school,free/reduced,none,61,60,55
+male,group D,associate's degree,standard,none,90,87,85
+male,group D,high school,free/reduced,none,75,74,66
+female,group C,some college,free/reduced,none,77,90,91
+female,group C,some college,standard,none,82,90,94
+male,group E,high school,standard,none,80,76,65
+male,group D,high school,free/reduced,none,63,57,56
+male,group E,some high school,standard,none,82,67,61
+female,group E,some college,standard,none,61,64,62
+male,group A,high school,standard,none,57,43,47
+female,group D,high school,standard,none,45,63,59
+male,group E,high school,free/reduced,none,55,56,51
+female,group B,associate's degree,standard,none,58,63,65
+male,group B,bachelor's degree,free/reduced,none,73,56,57
+female,group E,bachelor's degree,standard,none,65,73,75
+female,group C,some high school,standard,completed,59,54,67
+female,group C,some college,standard,completed,88,93,93
+female,group D,associate's degree,standard,none,65,69,70
+male,group C,associate's degree,standard,none,69,77,69
+male,group C,high school,standard,none,70,56,51
+male,group E,associate's degree,standard,none,89,76,74
+male,group E,high school,standard,none,84,73,69
+male,group D,associate's degree,free/reduced,completed,61,71,73
+female,group B,high school,standard,none,74,72,72
+male,group B,high school,standard,none,57,48,51
+female,group C,high school,standard,completed,60,64,74
+male,group C,high school,free/reduced,none,54,72,59
+female,group A,bachelor's degree,standard,none,51,49,51
+female,group D,some high school,standard,completed,80,92,88
+female,group A,some college,free/reduced,none,49,65,55
+male,group C,bachelor's degree,standard,completed,91,81,79
+male,group B,high school,standard,none,52,48,49
+male,group C,master's degree,standard,none,67,57,59
+female,group C,bachelor's degree,free/reduced,completed,47,62,66
+male,group B,some high school,standard,completed,61,56,56
+female,group D,associate's degree,free/reduced,completed,74,88,90
+female,group E,some college,standard,none,68,70,66
+male,group C,master's degree,free/reduced,completed,79,77,75
+female,group D,some college,free/reduced,none,64,74,75
+male,group B,some college,standard,completed,91,96,91
+female,group E,bachelor's degree,free/reduced,none,61,58,62
+female,group C,bachelor's degree,free/reduced,none,43,62,61
+female,group C,high school,free/reduced,none,53,72,64
+female,group E,bachelor's degree,standard,none,64,73,70
+female,group A,high school,free/reduced,completed,53,50,60
+female,group C,bachelor's degree,standard,none,86,92,87
+female,group D,high school,standard,none,69,72,77
+female,group C,some high school,standard,none,77,91,88
+female,group D,high school,standard,none,78,81,80
+female,group C,some college,standard,none,54,48,52
+male,group A,associate's degree,standard,none,54,53,47
+female,group E,associate's degree,free/reduced,none,73,76,78
+female,group B,bachelor's degree,standard,none,67,86,83
+male,group C,associate's degree,free/reduced,none,49,51,51
+female,group C,master's degree,free/reduced,none,40,58,54
+male,group D,associate's degree,free/reduced,none,52,57,50
+female,group D,some college,standard,completed,82,97,96
+male,group D,some high school,standard,none,81,78,78
+female,group B,high school,free/reduced,completed,23,44,36
+male,group E,some high school,standard,none,92,87,78
+female,group B,some high school,standard,completed,32,51,44
+female,group E,some college,standard,completed,73,78,76
+male,group C,associate's degree,standard,none,83,72,78
+female,group B,high school,standard,none,50,53,55
+female,group D,master's degree,standard,completed,70,71,74
+male,group D,associate's degree,standard,completed,67,54,63
+female,group D,associate's degree,free/reduced,completed,42,61,58
+male,group D,some college,free/reduced,none,59,62,61
+female,group B,some college,standard,none,70,75,78
+male,group B,some college,free/reduced,none,55,55,47
+male,group D,associate's degree,standard,none,61,48,46
+female,group B,bachelor's degree,standard,completed,66,74,81
+female,group D,bachelor's degree,free/reduced,none,73,79,84
+female,group D,some high school,standard,none,80,90,82
+female,group A,some high school,free/reduced,none,38,43,43
+female,group B,associate's degree,standard,completed,52,66,73
+male,group C,high school,standard,completed,58,52,54
+female,group C,high school,standard,none,72,80,83
+female,group C,associate's degree,standard,completed,68,86,84
+female,group C,bachelor's degree,standard,completed,77,94,95
+female,group B,some high school,standard,none,82,82,80
+female,group D,associate's degree,standard,none,76,74,73
+male,group E,some high school,standard,completed,81,75,76
+male,group E,associate's degree,free/reduced,completed,46,43,44
+male,group D,some college,standard,none,88,77,77
+male,group C,associate's degree,free/reduced,completed,65,73,68
+female,group B,bachelor's degree,standard,none,97,97,96
+female,group B,some college,standard,none,82,85,87
+female,group B,bachelor's degree,standard,completed,65,81,81
+male,group C,master's degree,standard,completed,91,85,85
+female,group C,associate's degree,standard,completed,55,72,79
+female,group D,master's degree,standard,none,92,100,100
+female,group B,high school,standard,none,81,91,89
+female,group E,associate's degree,free/reduced,completed,57,68,73
+female,group C,some college,standard,none,73,80,82
+female,group D,high school,standard,none,56,52,55
+female,group D,associate's degree,standard,completed,57,78,79
+male,group D,associate's degree,free/reduced,none,66,62,64
+male,group C,high school,standard,completed,53,52,49
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dockerfile

@@ -0,0 +1,28 @@
+FROM python:3.9-slim
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy project files
+COPY requirements.txt .
+COPY setup.py .
+COPY . /app
+
+# Install Python dependencies
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt && \
+    pip install --no-cache-dir -e .
+
+# Create non-root user
+RUN useradd -m -u 1000 mluser && chown -R mluser:mluser /app
+USER mluser
+
+# Expose port (MUST be 7860 for Hugging Face)
+EXPOSE 7860
+
+# Run with Gunicorn
+CMD ["gunicorn", "-w", "4", "-b", "0.0.0.0:7860", "app:app"]

math-score-ml-project

@@ -0,0 +1 @@
+Subproject commit 9cab9abff201802482e3c04b3f1f0f84ea27399a

notebook/catboost_info/catboost_training.json

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notebook/catboost_info/time_left.tsv

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requirements.txt

@@ -0,0 +1,11 @@
+seaborn 
+pandas 
+numpy 
+matplotlib
+scikit-learn
+catboost
+xgboost
+dill
+flask==2.3.0
+gunicorn
+-e .

setup.py

@@ -0,0 +1,17 @@
+from setuptools import find_packages, setup
+
+def get_requirements(file_path: str) -> list:
+    """This function will return the list of requirements"""
+    with open(file_path) as file_obj:
+        requirements = file_obj.readlines()
+        requirements = [req.replace("\n", "") for req in requirements if req.strip() and not req.startswith("-e")]
+    return requirements
+
+setup(
+name="project-1",
+version="0.1.0",
+author="Aryan",
+author_email="aryan78231@gmail.com",
+packages=find_packages(),
+install_requires=get_requirements("requirements.txt"),
+)

src/components/data_ingestion.py

@@ -0,0 +1,52 @@
+import os 
+import sys 
+from src.exception import CustomException
+from src.logger import logging
+import pandas as pd
+
+from sklearn.model_selection import train_test_split
+from dataclasses import dataclass
+
+@dataclass
+class DataIngestionConfig:
+    train_data_path: str
+    test_data_path: str
+    raw_data_path: str
+    def __init__(self):
+        self.train_data_path = os.path.join('artifacts', 'train.csv')
+        self.test_data_path = os.path.join('artifacts', 'test.csv')
+        self.raw_data_path = os.path.join('artifacts', 'data.csv')
+
+class DataIngestion:
+    def __init__(self):
+        self.ingestion_config = DataIngestionConfig()
+
+    def initiate_data_ingestion(self):
+        logging.info("Data Ingestion started")
+        try:
+            df = pd.read_csv('/Users/aryan/Documents/aryan/ml-projects/project-1/notebook/data/StudentsPerformance.csv')
+            logging.info("Dataset read as dataframe")
+            
+            os.makedirs(os.path.dirname(self.ingestion_config.raw_data_path), exist_ok=True)
+
+            df.to_csv(self.ingestion_config.raw_data_path, index=False)
+            logging.info("Raw data saved")
+
+            train_set, test_set = train_test_split(df, test_size=0.2, random_state=42)
+
+            train_set.to_csv(self.ingestion_config.train_data_path, index=False)
+            test_set.to_csv(self.ingestion_config.test_data_path, index=False)
+            logging.info("Train and Test data saved")
+
+            return (
+                self.ingestion_config.train_data_path,
+                self.ingestion_config.test_data_path
+            )
+        except Exception as e:
+            logging.error("Error in Data Ingestion {0}".format(e))
+            raise CustomException(e, sys)
+
+if __name__ == "__main__":
+    obj = DataIngestion()
+    obj.initiate_data_ingestion()
+    

src/components/data_transformation.py

@@ -0,0 +1,113 @@
+# Transform data for model training and evaluation.
+
+# Python Libraries 
+import os 
+import sys 
+import pandas as pd
+import  numpy as np
+from dataclasses import dataclass
+
+# local Imports 
+from src.components.data_ingestion import DataIngestion
+from src.exception import CustomException
+from src.logger import logging
+from src.utils import save_object
+from src.components.model_trainer import ModelTrainer
+
+# Sklearn Imports
+from sklearn.compose import ColumnTransformer
+from sklearn.impute import SimpleImputer
+from sklearn.pipeline import Pipeline
+from sklearn.preprocessing import OneHotEncoder, StandardScaler
+
+
+@dataclass
+class DataTransformationConfig:
+    preprocessor_obj_file_path = os.path.join('artifacts', 'preprocessor.pkl')
+
+class DataTransformation:
+    def __init__(self):
+        self.data_transformation_config = DataTransformationConfig()
+
+    def get_data_transformer_object(self):
+        try:
+            logging.info("Data Transformation initiated")
+            numerical_columns = ['reading score', 'writing score']
+            categorical_columns = ['gender', 'race/ethnicity', 'parental level of education', 'lunch', 'test preparation course']           
+
+            num_pipeline = Pipeline(
+                steps=[
+                    ('imputer', SimpleImputer(strategy='median')),
+                    ('scaler', StandardScaler())
+                ]
+            )   
+            cat_pipeline = Pipeline(
+                steps=[
+                    ('imputer', SimpleImputer(strategy='most_frequent')),
+                    ('one_hot_encoder', OneHotEncoder()),
+                    ('scaler', StandardScaler(with_mean=False))
+                ]
+            )
+            logging.info("Numerical and Categorical pipelines created")
+            preprocessor = ColumnTransformer(
+                [
+                    ('num_pipeline', num_pipeline, numerical_columns),
+                    ('cat_pipeline', cat_pipeline, categorical_columns)
+                ]
+            )
+            return preprocessor
+        except Exception as e:
+            logging.error("Error in Data Transformation {0}".format(e))
+            raise CustomException(e, sys)
+    def initiate_data_transformation(self, train_path, test_path):
+        try:
+            # Reading train and test data
+            train_df = pd.read_csv(train_path)
+            test_df = pd.read_csv(test_path)
+            logging.info("Read train and test data completed")
+
+            logging.info("Obtaining preprocessor object")
+            preprocessing_obj = self.get_data_transformer_object()
+
+            target_column_name = "math score"
+            
+            input_feature_train_df = train_df.drop(columns=[target_column_name], axis=1)
+            target_feature_train_df = train_df[target_column_name]
+
+            input_feature_test_df = test_df.drop(columns=[target_column_name], axis=1)
+            target_feature_test_df = test_df[target_column_name]
+
+            logging.info("Applying preprocessing object on training and testing dataframes")
+            input_feature_train_arr = preprocessing_obj.fit_transform(input_feature_train_df)
+            input_feature_test_arr = preprocessing_obj.transform(input_feature_test_df)
+
+            logging.info("Preprocessing completed successfully")
+            train_arr = np.c_[input_feature_train_arr, np.array(target_feature_train_df)]
+            test_arr = np.c_[input_feature_test_arr, np.array(target_feature_test_df)]
+
+            logging.info("Saved preprocessing object")
+            save_object(
+                file_path=self.data_transformation_config.preprocessor_obj_file_path,
+                obj=preprocessing_obj
+            )
+            return (
+                train_arr,
+                test_arr,
+                self.data_transformation_config.preprocessor_obj_file_path,
+            )
+        except Exception as e:
+            logging.error("Error in initiate_data_transformation {0}".format(e))
+            raise CustomException(e, sys)
+        
+
+
+
+if __name__ == "__main__":
+    obj = DataIngestion()
+    train_data, test_data = obj.initiate_data_ingestion()
+
+    data_transformation = DataTransformation()
+    train_arr , test_arr , preProcessorPath =  data_transformation.initiate_data_transformation(train_data, test_data)
+
+    model_trainer = ModelTrainer()
+    print(model_trainer.initiate_model_trainer(train_arr , test_arr))

src/components/model_trainer.py

@@ -0,0 +1,119 @@
+#  Libraries 
+import os 
+import sys
+import pandas as pd
+import numpy as np
+from dataclasses import dataclass
+
+
+#  local Imports 
+from src.exception import CustomException
+from src.logger import logging
+from src.utils import save_object , evaluate_models
+
+
+# Models
+from sklearn.linear_model import LinearRegression , Ridge, Lasso
+from sklearn.tree import DecisionTreeRegressor
+from sklearn.ensemble import RandomForestRegressor, GradientBoostingRegressor , AdaBoostRegressor
+from sklearn.svm import SVR
+from sklearn.neighbors import KNeighborsRegressor
+from catboost import CatBoostRegressor
+from xgboost import XGBRegressor
+
+# Imports for hyperparameter tuning
+from sklearn.model_selection import GridSearchCV, RandomizedSearchCV
+
+# Metric Imports to test model performance
+from sklearn.metrics import r2_score
+@dataclass
+class ModelTrainerConfig:
+    trained_model_file_path = os.path.join('artifacts', 'model.pkl')
+
+class ModelTrainer:
+    def __init__(self):
+        self.model_trainer_config = ModelTrainerConfig()
+
+    def initiate_model_trainer(self, train_array, test_array):
+        try:
+            logging.info("Model Trainer initiated")
+            X_train, y_train = train_array[:,:-1], train_array[:,-1]
+            X_test, y_test = test_array[:,:-1], test_array[:,-1]
+
+            models = {
+                "Linear Regression": LinearRegression(),
+                "Ridge": Ridge(),
+                "Lasso": Lasso(),
+                "Decision Tree": DecisionTreeRegressor(),
+                "Random Forest": RandomForestRegressor(),
+                "Gradient Boosting": GradientBoostingRegressor(),
+                "AdaBoost": AdaBoostRegressor(),
+                "SVR": SVR(),
+                "KNeighbors": KNeighborsRegressor(),
+                "CatBoost": CatBoostRegressor(verbose=False),
+                "XGBRegressor": XGBRegressor()
+            }
+
+            params = {
+                "Decision Tree": {
+                    'criterion': ['squared_error', 'friedman_mse', 'absolute_error', 'poisson'],
+                    'splitter': ['best', 'random'],
+                    'max_depth': [3, 5, 10, 15, 20, None]
+                },
+                "Random Forest": {
+                    'n_estimators': [50, 100, 200],
+                    'criterion': ['squared_error', 'friedman_mse', 'absolute_error', 'poisson'],
+                    'max_depth': [3, 5, 10, 15, 20, None]
+                },
+                "Gradient Boosting": {
+                    'learning_rate': [0.01, 0.1, 0.2, 0.3],
+                    'n_estimators': [50, 100, 200],
+                    'subsample': [0.6, 0.7, 0.8, 0.9, 1.0]
+                },
+                "SVR": {
+                    'kernel': ['linear', 'poly', 'rbf', 'sigmoid'],
+                    'C': [0.1, 1, 10, 100],
+                    'gamma': ['scale', 'auto']
+                },
+                "KNeighbors": {
+                    'n_neighbors': [3, 5, 7, 9],
+                    'weights': ['uniform', 'distance'],
+                    'metric': ['euclidean', 'manhattan']
+                },
+                "CatBoost": {
+                    'depth': [4, 6, 8],
+                    'learning_rate': [0.01, 0.1, 0.2],
+                    'iterations': [100, 200, 300]
+                },
+                "XGBRegressor": {
+                    'learning_rate': [0.01, 0.1, 0.2],
+                    'n_estimators': [100, 200, 300],
+                    'max_depth': [3, 5, 7]
+                }
+            }
+
+            logging.info("Models defined for training")
+            model_report = evaluate_models(X_train, y_train, X_test, y_test, models , params)
+
+
+            logging.info("Model evaluation completed finding best model")
+            best_model_name = max(model_report, key=model_report.get)
+            best_model = models[best_model_name]
+            best_r2_score = model_report[best_model_name]
+
+            if(best_r2_score < 0.6):
+                logging.info("No model found with R2 score greater than 0.6")
+                raise CustomException("No best model found with R2 score greater than 0.6", sys)
+
+
+            logging.info(f"Best Model: {best_model_name} with R2 Score: {best_r2_score}")
+
+            save_object(
+                file_path=self.model_trainer_config.trained_model_file_path,
+                obj=best_model
+            )
+
+            return best_r2_score
+        except Exception as e:
+            logging.error("Error in Model Trainer {0}".format(e))
+            raise CustomException(e, sys)

src/exception.py

@@ -0,0 +1,26 @@
+import sys 
+from src.logger import logging
+
+def error_message_detail(error, error_detail:sys):
+    _,_,exc_tb = error_detail.exc_info()
+    file_name = exc_tb.tb_frame.f_code.co_filename
+    error_message = "Error occurred in python script name [{0}] line number [{1}] error message [{2}]".format(
+        file_name, exc_tb.tb_lineno, str(error)
+    )
+    return error_message
+
+class CustomException(Exception):
+    def __init__(self, error_message, error_detail:sys):
+        super().__init__(error_message)
+        self.error_message = error_message_detail(error_message, error_detail)
+
+    def __str__(self):
+        return self.error_message
+    
+
+if __name__ == "__main__":
+    try:
+        a = 1 / 0
+    except Exception as e:
+        logging.info("Dividing by zero error occurred [{0}]".format(e))
+        raise CustomException(e, sys)

src/logger.py

@@ -0,0 +1,30 @@
+import logging
+
+import os
+from datetime import datetime
+
+# Create a timestamped log directory and file
+LOG_DIR = os.path.join(os.getcwd(), "logs")
+os.makedirs(LOG_DIR, exist_ok=True)
+LOG_FILE = f"log_{datetime.now().strftime('%Y-%m-%d_%H-%M-%S')}.log"
+LOG_FILE_PATH = os.path.join(LOG_DIR, LOG_FILE)
+
+# Configure more readable, structured logging
+logging.basicConfig(
+    filename=LOG_FILE_PATH,
+    format=(
+        "\n-----------------------------\n"
+        "Time       : %(asctime)s\n"
+        "Level      : %(levelname)s\n"
+        "Module     : %(name)s\n"
+        "Line       : %(lineno)d\n"
+        "Message    : %(message)s\n"
+        "-----------------------------\n"
+    ),
+    level=logging.INFO,
+    datefmt="%Y-%m-%d %H:%M:%S"
+)
+
+# Example usage
+
+

src/math-score-ml-project

@@ -0,0 +1 @@
+Subproject commit 9cab9abff201802482e3c04b3f1f0f84ea27399a

src/pipelines/predict_pipeline.py

@@ -0,0 +1,77 @@
+
+import sys
+import pandas as pd
+import logging
+
+
+from src.exception import CustomException
+from src.logger import logging
+from src.utils import load_object
+
+
+
+class PredictPipeline:
+    def __init__(self):
+        pass
+
+    def predict(self, features):
+        try:
+            model_path = 'artifacts/model.pkl'
+            preprocessor_path = 'artifacts/preprocessor.pkl'
+
+            # Load model and preprocessor
+            model = load_object(file_path=model_path)
+            preprocessor = load_object(file_path=preprocessor_path)
+
+            # Check if model and preprocessor are loaded
+            if model is None:
+                raise Exception("Model failed to load")
+            if preprocessor is None:
+                raise Exception("Preprocessor failed to load")
+
+            # Transform features and make prediction
+            data_scaled = preprocessor.transform(features)
+            preds = model.predict(data_scaled)
+            
+            return preds
+            
+        except Exception as e:
+            logging.error(f"Error in prediction: {str(e)}")
+            raise CustomException(e, sys)
+
+
+class CustomData:
+    def __init__(self, gender: str, race: str,
+                 parental_level_of_education: str,
+                 lunch: str,
+                 test_preparation_course: str,
+                 reading_score: float,
+                 writing_score: float):
+        self.gender = gender
+        self.race = race
+        self.parental_level_of_education = parental_level_of_education
+        self.lunch = lunch
+        self.test_preparation_course = test_preparation_course
+        self.reading_score = reading_score
+        self.writing_score = writing_score
+
+    def get_data_as_data_frame(self):
+        try:
+            # Note: Column names must match your training data exactly
+            custom_data_input_dict = {
+                "gender": [self.gender],
+                "race/ethnicity": [self.race],
+                "parental level of education": [self.parental_level_of_education],
+                "lunch": [self.lunch],
+                "test preparation course": [self.test_preparation_course],
+                "reading score": [self.reading_score],
+                "writing score": [self.writing_score]
+            }
+            
+            df = pd.DataFrame(custom_data_input_dict)
+            logging.info("Dataframe created successfully")
+            return df
+            
+        except Exception as e:
+            logging.error(f"Error in Dataframe Creation: {str(e)}")
+            raise CustomException(e, sys)

src/utils.py

@@ -0,0 +1,89 @@
+import os 
+import sys
+import pandas as pd
+import  numpy as np
+import dill
+
+from dataclasses import dataclass
+from src.exception import CustomException
+from src.logger import logging
+
+from sklearn.metrics import r2_score
+from sklearn.model_selection import GridSearchCV
+
+
+def save_object(file_path: str, obj: object):
+    """
+    Saves a Python object to a file using pickle.
+
+    Parameters:
+    file_path (str): The path where the object should be saved.
+    obj (object): The Python object to be saved.
+    """
+    try:
+        os.makedirs(os.path.dirname(file_path), exist_ok=True)
+        with open(file_path, 'wb') as file_obj:
+            dill.dump(obj, file_obj)
+        logging.info(f"Object saved successfully at {file_path}")
+    except Exception as e:
+        logging.error("Error saving object: {0}".format(e))
+        raise CustomException(e, sys)
+    
+
+def evaluate_models(X_train, y_train, X_test, y_test, models , param_grids) -> dict:
+   
+    """
+    Evaluates multiple regression models and returns their R2 scores.
+
+    Parameters:
+    X_train (array-like): Training features.
+    y_train (array-like): Training target.
+    X_test (array-like): Testing features.
+    y_test (array-like): Testing target.
+    models (dict): A dictionary where keys are model names and values are model instances.
+
+    Returns:
+    dict: A dictionary with model names as keys and their R2 scores as values.
+    """
+    
+    try:
+        model_report = {}
+
+        for model_name, model in models.items():
+            param_grid = param_grids.get(model_name, {})
+            gs = GridSearchCV(model, param_grid, cv=5, n_jobs=-1, verbose=0)
+            gs.fit(X_train, y_train)
+            model.set_params(**gs.best_params_)
+            logging.info(f"Best parameters for {model_name}: {gs.best_params_}")
+
+            model.fit(X_train, y_train)
+        
+            y_pred_test  = model.predict(X_test)
+
+            test_r2_score = r2_score(y_test, y_pred_test)
+            model_report[model_name] = test_r2_score
+            logging.info(f"{model_name} R2 Score: {test_r2_score}")
+
+        return model_report
+    except Exception as e:
+        logging.error("Error evaluating models: {0}".format(e))
+        raise CustomException(e, sys)
+    
+def load_object(file_path: str) -> object:
+    """
+    Loads a Python object from a file using pickle.
+
+    Parameters:
+    file_path (str): The path to the file from which the object should be loaded.
+
+    Returns:
+    object: The loaded Python object.
+    """
+    try:
+        with open(file_path, 'rb') as file_obj:
+            obj = dill.load(file_obj)
+        logging.info(f"Object loaded successfully from {file_path}")
+        return obj
+    except Exception as e:
+        logging.error("Error loading object: {0}".format(e))
+        raise CustomException(e, sys)

templates/home.html

@@ -0,0 +1,597 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Student Math Score Predictor</title>
+    <style>
+        * {
+            margin: 0;
+            padding: 0;
+            box-sizing: border-box;
+        }
+
+        body {
+            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
+            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+            min-height: 100vh;
+            display: flex;
+            flex-direction: column;
+            padding: 0;
+            margin: 0;
+        }
+
+        /* Navigation Bar */
+        nav {
+            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+            padding: 1rem 2rem;
+            box-shadow: 0 2px 10px rgba(0, 0, 0, 0.2);
+            width: 100%;
+        }
+
+        .nav-container {
+            max-width: 1200px;
+            margin: 0 auto;
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+        }
+
+        .nav-brand {
+            color: white;
+            font-size: 1.5em;
+            font-weight: bold;
+            text-decoration: none;
+            transition: opacity 0.3s;
+        }
+
+        .nav-brand:hover {
+            opacity: 0.8;
+        }
+
+        .nav-links {
+            display: flex;
+            gap: 2rem;
+            list-style: none;
+            align-items: center;
+        }
+
+        .nav-links a {
+            color: white;
+            text-decoration: none;
+            font-weight: 500;
+            transition: opacity 0.3s;
+            display: inline-block;
+            white-space: nowrap;
+        }
+
+        .nav-links a:hover:not(.nav-home-btn) {
+            opacity: 0.8;
+        }
+
+        .nav-home-btn {
+            background: white !important;
+            color: #667eea !important;
+            padding: 8px 16px !important;
+            border-radius: 20px !important;
+            font-weight: 600 !important;
+            text-decoration: none !important;
+            transition: all 0.3s ease !important;
+            display: inline-block !important;
+            font-size: 0.95em !important;
+            line-height: 1 !important;
+        }
+
+        .nav-home-btn:hover {
+            transform: translateY(-2px) !important;
+            box-shadow: 0 4px 12px rgba(0, 0, 0, 0.2) !important;
+            opacity: 1 !important;
+        }
+
+        @media (max-width: 768px) {
+            .nav-links {
+                gap: 1rem;
+                font-size: 0.9em;
+            }
+
+            .nav-brand {
+                font-size: 1.2em;
+            }
+        }
+
+        .main-content {
+            display: flex;
+            justify-content: center;
+            align-items: center;
+            flex: 1;
+            padding: 20px;
+        }
+
+        .container {
+            background: white;
+            border-radius: 20px;
+            box-shadow: 0 20px 60px rgba(0, 0, 0, 0.3);
+            max-width: 900px;
+            width: 100%;
+            overflow: hidden;
+        }
+
+        .header {
+            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+            color: white;
+            padding: 40px;
+            text-align: center;
+        }
+
+        .header h1 {
+            font-size: 2.5em;
+            margin-bottom: 10px;
+            text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.2);
+        }
+
+        .header p {
+            font-size: 1.1em;
+            opacity: 0.9;
+        }
+
+        .content {
+            padding: 40px;
+        }
+
+        .form-grid {
+            display: grid;
+            grid-template-columns: 1fr 1fr;
+            gap: 25px;
+            margin-bottom: 30px;
+        }
+
+        .form-group {
+            display: flex;
+            flex-direction: column;
+        }
+
+        .form-group label {
+            font-weight: 600;
+            margin-bottom: 8px;
+            color: #333;
+            font-size: 0.95em;
+        }
+
+        .form-group input,
+        .form-group select {
+            padding: 12px 15px;
+            border: 2px solid #e0e0e0;
+            border-radius: 8px;
+            font-size: 1em;
+            transition: all 0.3s ease;
+            background: white;
+        }
+
+        .form-group input:focus,
+        .form-group select:focus {
+            outline: none;
+            border-color: #667eea;
+            box-shadow: 0 0 0 3px rgba(102, 126, 234, 0.1);
+        }
+
+        .form-group select {
+            cursor: pointer;
+            appearance: none;
+            background-image: url("data:image/svg+xml;charset=UTF-8,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 24 24' fill='none' stroke='%23667eea' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'%3e%3cpolyline points='6 9 12 15 18 9'%3e%3c/polyline%3e%3c/svg%3e");
+            background-repeat: no-repeat;
+            background-position: right 10px center;
+            background-size: 20px;
+            padding-right: 35px;
+        }
+
+        @media (max-width: 768px) {
+            .form-grid {
+                grid-template-columns: 1fr;
+            }
+        }
+
+        .full-width {
+            grid-column: 1 / -1;
+        }
+
+        .button-group {
+            display: flex;
+            gap: 15px;
+            margin-bottom: 30px;
+            justify-content: center;
+        }
+
+        button {
+            padding: 14px 40px;
+            font-size: 1em;
+            font-weight: 600;
+            border: none;
+            border-radius: 8px;
+            cursor: pointer;
+            transition: all 0.3s ease;
+            text-transform: uppercase;
+            letter-spacing: 0.5px;
+        }
+
+        button[type="submit"] {
+            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+            color: white;
+            flex: 1;
+            max-width: 250px;
+        }
+
+        button[type="submit"]:hover:not(:disabled) {
+            transform: translateY(-2px);
+            box-shadow: 0 10px 25px rgba(102, 126, 234, 0.4);
+        }
+
+        button[type="submit"]:disabled {
+            opacity: 0.6;
+            cursor: not-allowed;
+        }
+
+        button[type="reset"] {
+            background: #f0f0f0;
+            color: #333;
+            flex: 1;
+            max-width: 250px;
+        }
+
+        button[type="reset"]:hover {
+            background: #e0e0e0;
+            transform: translateY(-2px);
+        }
+
+        .result-card {
+            background: linear-gradient(135deg, #f093fb 0%, #f5576c 100%);
+            color: white;
+            padding: 30px;
+            border-radius: 15px;
+            text-align: center;
+            margin-bottom: 30px;
+            display: none;
+            animation: slideIn 0.5s ease;
+        }
+
+        .result-card.show {
+            display: block;
+        }
+
+        @keyframes slideIn {
+            from {
+                opacity: 0;
+                transform: translateY(20px);
+            }
+            to {
+                opacity: 1;
+                transform: translateY(0);
+            }
+        }
+
+        .result-card h2 {
+            font-size: 1.2em;
+            margin-bottom: 15px;
+            opacity: 0.95;
+        }
+
+        .predicted-score {
+            font-size: 3.5em;
+            font-weight: bold;
+            margin: 20px 0;
+            text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.2);
+        }
+
+        .score-range {
+            font-size: 1em;
+            opacity: 0.9;
+            margin-top: 15px;
+        }
+
+        .info-box {
+            background: #f8f9fa;
+            padding: 20px;
+            border-radius: 10px;
+            border-left: 4px solid #667eea;
+            margin-top: 30px;
+            color: #555;
+            line-height: 1.6;
+        }
+
+        .info-box h3 {
+            color: #667eea;
+            margin-bottom: 10px;
+        }
+
+        .model-info-box {
+            background: #f8f9fa;
+            padding: 20px;
+            border-radius: 10px;
+            border-left: 4px solid #764ba2;
+            margin-top: 20px;
+            color: #555;
+            line-height: 1.6;
+        }
+
+        .model-info-box h3 {
+            color: #764ba2;
+            margin-bottom: 15px;
+            font-size: 1.1em;
+        }
+
+        .model-info-box h4 {
+            color: #667eea;
+            margin-top: 15px;
+            margin-bottom: 10px;
+            font-size: 1em;
+        }
+
+        .models-list {
+            display: flex;
+            flex-wrap: wrap;
+            gap: 10px;
+            margin: 15px 0;
+            justify-content: center;
+        }
+
+        .models-list span {
+            background: white;
+            padding: 8px 12px;
+            border-radius: 6px;
+            border-left: 3px solid #667eea;
+            font-size: 0.9em;
+            color: #555;
+            text-align: center;
+        }
+
+        .best-model {
+            background: linear-gradient(135deg, #667eea15 0%, #764ba215 100%);
+            padding: 15px;
+            border-radius: 8px;
+            margin-top: 15px;
+            border: 1px solid #667eea30;
+        }
+
+        .score-badge {
+            display: inline-block;
+            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+            color: white;
+            padding: 4px 12px;
+            border-radius: 20px;
+            font-weight: 600;
+            font-size: 1.1em;
+        }
+
+        .error-message {
+            background: #fee;
+            color: #c33;
+            padding: 15px;
+            border-radius: 8px;
+            border-left: 4px solid #c33;
+            margin-bottom: 20px;
+            display: none;
+        }
+
+        .error-message.show {
+            display: block;
+            animation: slideIn 0.3s ease;
+        }
+
+        .success-message {
+            background: #efe;
+            color: #3c3;
+            padding: 15px;
+            border-radius: 8px;
+            border-left: 4px solid #3c3;
+            margin-bottom: 20px;
+            display: none;
+        }
+
+        .success-message.show {
+            display: block;
+            animation: slideIn 0.3s ease;
+        }
+    </style>
+</head>
+<body>
+    <!-- Navigation Bar -->
+    <nav>
+        <div class="nav-container">
+            <a href="/" class="nav-brand">📊 Math Score Predictor</a>
+            <ul class="nav-links">
+                <li><a href="/">🏠 Home</a></li>
+                <li><a href="/" class="nav-home-btn">📝 Prediction Form</a></li>
+            </ul>
+        </div>
+    </nav>
+
+    <div class="main-content">
+    <div class="container">
+        <div class="header">
+            <h1>📊 Math Score Predictor</h1>
+            <p>Predict student math performance based on their profile</p>
+        </div>
+
+        <div class="content">
+            <div class="error-message" id="errorMsg"></div>
+            <div class="success-message" id="successMsg"></div>
+
+            <form method="POST" action="/predict" id="predictionForm">
+                <div class="form-grid">
+                    <div class="form-group">
+                        <label for="gender">Gender</label>
+                        <select name="gender" id="gender" required>
+                            <option value="">Select Gender</option>
+                            <option value="male">Male</option>
+                            <option value="female">Female</option>
+                        </select>
+                    </div>
+
+                    <div class="form-group">
+                        <label for="race">Race/Ethnicity</label>
+                        <select name="race" id="race" required>
+                            <option value="">Select Race/Ethnicity</option>
+                            <option value="group A">Group A</option>
+                            <option value="group B">Group B</option>
+                            <option value="group C">Group C</option>
+                            <option value="group D">Group D</option>
+                            <option value="group E">Group E</option>
+                        </select>
+                    </div>
+
+                    <div class="form-group">
+                        <label for="parental_education">Parental Level of Education</label>
+                        <select name="parental_education" id="parental_education" required>
+                            <option value="">Select Education Level</option>
+                            <option value="some high school">Some High School</option>
+                            <option value="high school">High School</option>
+                            <option value="some college">Some College</option>
+                            <option value="associate's degree">Associate's Degree</option>
+                            <option value="bachelor's degree">Bachelor's Degree</option>
+                            <option value="master's degree">Master's Degree</option>
+                        </select>
+                    </div>
+
+                    <div class="form-group">
+                        <label for="lunch">Lunch Type</label>
+                        <select name="lunch" id="lunch" required>
+                            <option value="">Select Lunch Type</option>
+                            <option value="standard">Standard</option>
+                            <option value="free/reduced">Free/Reduced</option>
+                        </select>
+                    </div>
+
+                    <div class="form-group">
+                        <label for="test_preparation_course">Test Preparation Course</label>
+                        <select name="test_preparation_course" id="test_preparation_course" required>
+                            <option value="">Select Status</option>
+                            <option value="none">None</option>
+                            <option value="completed">Completed</option>
+                        </select>
+                    </div>
+
+                    <div class="form-group">
+                        <label for="reading_score">Reading Score (0-100)</label>
+                        <input type="number" name="reading_score" id="reading_score" min="0" max="100" required>
+                    </div>
+
+                    <div class="form-group">
+                        <label for="writing_score">Writing Score (0-100)</label>
+                        <input type="number" name="writing_score" id="writing_score" min="0" max="100" required>
+                    </div>
+                </div>
+
+                <div class="button-group">
+                    <button type="submit" id="submitBtn" class="btn-predict">🎯 Predict Math Score</button>
+                    <button type="reset" id="resetBtn" class="btn-reset">🔄 Clear Form</button>
+                </div>
+            </form>
+
+            <div class="result-card" id="resultCard">
+                <h2>Predicted Math Score</h2>
+                <div class="predicted-score" id="predictedScore">--</div>
+                <div class="score-range" id="scoreRange"></div>
+            </div>
+
+            <div class="info-box">
+                <h3>ℹ️ How it works</h3>
+                <p>This predictor uses machine learning trained on historical student data to estimate math scores based on student demographics, socioeconomic factors, and existing test scores. The prediction is an estimate and may vary from actual results.</p>
+            </div>
+
+            <div class="model-info-box">
+                <h3>🤖 Model Selection & Performance</h3>
+                <p>To build this predictor, I tested multiple supervised learning algorithms including:</p>
+                <div class="models-list">
+                    <span>Linear Regression</span>
+                    <span>Ridge Regression</span>
+                    <span>Lasso Regression</span>
+                    <span>Decision Tree</span>
+                    <span>Random Forest</span>
+                    <span>Gradient Boosting</span>
+                    <span>AdaBoost</span>
+                    <span>Support Vector Regression (SVR)</span>
+                    <span>K-Neighbors</span>
+                    <span>CatBoost</span>
+                    <span>XGBRegressor</span>
+                </div>
+                <div class="best-model">
+                    <h4>✨ Best Model Selected: Ridge Regression</h4>
+                    <p><strong>R² Score:</strong> <span class="score-badge">0.8806</span></p>
+                    <p style="margin-top: 10px; font-size: 0.9em; color: #666;">Ridge Regression provides the best balance between accuracy and generalization, making it ideal for predicting student math scores with high reliability.</p>
+                </div>
+            </div>
+        </div>
+    </div>
+
+    <script>
+        document.getElementById('predictionForm').addEventListener('submit', async function(e) {
+            e.preventDefault();
+
+            const errorMsg = document.getElementById('errorMsg');
+            const successMsg = document.getElementById('successMsg');
+            const resultCard = document.getElementById('resultCard');
+            const submitBtn = document.getElementById('submitBtn');
+
+            // Clear previous messages
+            errorMsg.classList.remove('show');
+            successMsg.classList.remove('show');
+            resultCard.classList.remove('show');
+
+            // Show loading state
+            const originalText = submitBtn.textContent;
+            submitBtn.textContent = '⏳ Processing...';
+            submitBtn.disabled = true;
+
+            try {
+                // Collect form data
+                const formData = new FormData(this);
+                const data = Object.fromEntries(formData);
+
+                // Convert scores to numbers
+                data.reading_score = parseFloat(data.reading_score);
+                data.writing_score = parseFloat(data.writing_score);
+
+                // Send POST request to Flask backend
+                const response = await fetch('/predict', {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'application/json',
+                    },
+                    body: JSON.stringify(data)
+                });
+
+                const result = await response.json();
+
+                if (!response.ok || result.error) {
+                    throw new Error(result.error || 'Prediction failed');
+                }
+
+                // Display result
+                const predictedScore = Math.round(result.predicted_math_score);
+                document.getElementById('predictedScore').textContent = predictedScore;
+                document.getElementById('scoreRange').textContent = 
+                    `Score Range: ${Math.max(0, predictedScore - 8)}-${Math.min(100, predictedScore + 8)}`;
+                
+                resultCard.classList.add('show');
+                
+                successMsg.textContent = '✅ Prediction completed successfully!';
+                successMsg.classList.add('show');
+
+            } catch (error) {
+                errorMsg.textContent = '❌ Error: ' + error.message;
+                errorMsg.classList.add('show');
+                console.error('Error:', error);
+            } finally {
+                // Restore button
+                submitBtn.textContent = originalText;
+                submitBtn.disabled = false;
+            }
+        });
+
+        document.getElementById('resetBtn').addEventListener('click', function() {
+            document.getElementById('errorMsg').classList.remove('show');
+            document.getElementById('successMsg').classList.remove('show');
+            document.getElementById('resultCard').classList.remove('show');
+        });
+    </script>
+</body>
+</html>

templates/index.html

@@ -0,0 +1,460 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Math Score Predictor - ML Project</title>
+    <style>
+        * {
+            margin: 0;
+            padding: 0;
+            box-sizing: border-box;
+        }
+
+        html {
+            scroll-behavior: smooth;
+        }
+
+        body {
+            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
+            background: #f8f9fa;
+            color: #333;
+            line-height: 1.6;
+        }
+
+        /* Navigation */
+        nav {
+            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+            padding: 1rem 2rem;
+            position: fixed;
+            width: 100%;
+            top: 0;
+            z-index: 1000;
+            box-shadow: 0 2px 20px rgba(0, 0, 0, 0.1);
+        }
+
+        .nav-container {
+            max-width: 1200px;
+            margin: 0 auto;
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+        }
+
+        .nav-brand {
+            color: white;
+            font-size: 1.5em;
+            font-weight: bold;
+            text-decoration: none;
+        }
+
+        .nav-links {
+            display: flex;
+            gap: 2rem;
+            list-style: none;
+        }
+
+        .nav-links a {
+            color: white;
+            text-decoration: none;
+            transition: opacity 0.3s;
+            display: inline-block;
+        }
+
+        .nav-links a:hover {
+            opacity: 0.8;
+        }
+
+        .nav-links .cta-button {
+            background: white;
+            color: #667eea;
+            padding: 8px 20px !important;
+            border-radius: 20px;
+            font-weight: 600;
+            font-size: 0.9em !important;
+            transition: all 0.3s ease;
+        }
+
+        .nav-links .cta-button:hover {
+            transform: translateY(-2px);
+            box-shadow: 0 4px 12px rgba(0, 0, 0, 0.2);
+            opacity: 1;
+        }
+
+        /* Hero Section */
+        .hero {
+            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+            color: white;
+            padding: 150px 20px 100px;
+            text-align: center;
+            margin-top: 60px;
+        }
+
+        .hero h1 {
+            font-size: 3.5em;
+            margin-bottom: 1rem;
+            text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.2);
+            animation: fadeInDown 0.8s ease;
+        }
+
+        .hero p {
+            font-size: 1.3em;
+            margin-bottom: 2rem;
+            opacity: 0.9;
+            animation: fadeInUp 0.8s ease 0.2s both;
+        }
+
+        .cta-button {
+            display: inline-block;
+            background: white;
+            color: #667eea;
+            padding: 15px 40px;
+            border-radius: 50px;
+            text-decoration: none;
+            font-weight: 600;
+            font-size: 1.1em;
+            transition: all 0.3s ease;
+            box-shadow: 0 4px 15px rgba(0, 0, 0, 0.2);
+            animation: fadeInUp 0.8s ease 0.4s both;
+        }
+
+        .cta-button:hover {
+            transform: translateY(-3px);
+            box-shadow: 0 6px 25px rgba(0, 0, 0, 0.3);
+        }
+
+        /* Features Section */
+        .features {
+            max-width: 1200px;
+            margin: 80px auto;
+            padding: 0 20px;
+        }
+
+        .section-title {
+            text-align: center;
+            font-size: 2.5em;
+            margin-bottom: 60px;
+            color: #333;
+        }
+
+        .section-title span {
+            color: #667eea;
+        }
+
+        .features-grid {
+            display: grid;
+            grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
+            gap: 30px;
+            margin-bottom: 80px;
+        }
+
+        .feature-card {
+            background: white;
+            padding: 30px;
+            border-radius: 15px;
+            box-shadow: 0 5px 20px rgba(0, 0, 0, 0.1);
+            transition: all 0.3s ease;
+            border-left: 5px solid #667eea;
+        }
+
+        .feature-card:hover {
+            transform: translateY(-10px);
+            box-shadow: 0 10px 35px rgba(0, 0, 0, 0.15);
+        }
+
+        .feature-icon {
+            font-size: 2.5em;
+            margin-bottom: 15px;
+        }
+
+        .feature-card h3 {
+            color: #667eea;
+            margin-bottom: 15px;
+            font-size: 1.4em;
+        }
+
+        .feature-card p {
+            color: #666;
+            font-size: 0.95em;
+            line-height: 1.8;
+        }
+
+        /* Concept Section */
+        .concepts {
+            background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%);
+            padding: 80px 20px;
+            margin: 80px 0;
+        }
+
+        .concepts-container {
+            max-width: 1000px;
+            margin: 0 auto;
+        }
+
+        .concept-item {
+            background: white;
+            padding: 25px;
+            margin-bottom: 25px;
+            border-radius: 10px;
+            border-left: 5px solid #764ba2;
+            animation: slideIn 0.6s ease forwards;
+        }
+
+        .concept-item:nth-child(1) { animation-delay: 0.1s; }
+        .concept-item:nth-child(2) { animation-delay: 0.2s; }
+        .concept-item:nth-child(3) { animation-delay: 0.3s; }
+        .concept-item:nth-child(4) { animation-delay: 0.4s; }
+
+        .concept-item h4 {
+            color: #764ba2;
+            font-size: 1.2em;
+            margin-bottom: 10px;
+        }
+
+        .concept-item p {
+            color: #555;
+            line-height: 1.8;
+        }
+
+        /* Model Performance Section */
+        .performance {
+            max-width: 1200px;
+            margin: 80px auto;
+            padding: 0 20px;
+        }
+
+        .stats-grid {
+            display: grid;
+            grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
+            gap: 20px;
+            margin-top: 40px;
+        }
+
+        .stat-box {
+            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+            color: white;
+            padding: 30px;
+            border-radius: 10px;
+            text-align: center;
+            box-shadow: 0 5px 20px rgba(0, 0, 0, 0.1);
+        }
+
+        .stat-number {
+            font-size: 2.5em;
+            font-weight: bold;
+            margin-bottom: 10px;
+        }
+
+        .stat-label {
+            font-size: 0.9em;
+            opacity: 0.9;
+        }
+
+        /* Footer */
+        footer {
+            background: #2c3e50;
+            color: white;
+            padding: 40px 20px;
+            text-align: center;
+            margin-top: 80px;
+        }
+
+        .footer-content {
+            max-width: 1200px;
+            margin: 0 auto;
+        }
+
+        .footer-section {
+            margin-bottom: 20px;
+        }
+
+        .footer-section h4 {
+            color: #667eea;
+            margin-bottom: 10px;
+        }
+
+        .footer-contact {
+            display: flex;
+            justify-content: center;
+            gap: 30px;
+            flex-wrap: wrap;
+            margin: 20px 0;
+        }
+
+        .footer-contact a {
+            color: #667eea;
+            text-decoration: none;
+            transition: color 0.3s;
+        }
+
+        .footer-contact a:hover {
+            color: #764ba2;
+        }
+
+        .divider {
+            border-top: 1px solid rgba(255, 255, 255, 0.1);
+            margin: 30px 0;
+        }
+
+        /* Animations */
+        @keyframes fadeInDown {
+            from {
+                opacity: 0;
+                transform: translateY(-30px);
+            }
+            to {
+                opacity: 1;
+                transform: translateY(0);
+            }
+        }
+
+        @keyframes fadeInUp {
+            from {
+                opacity: 0;
+                transform: translateY(30px);
+            }
+            to {
+                opacity: 1;
+                transform: translateY(0);
+            }
+        }
+
+        @keyframes slideIn {
+            from {
+                opacity: 0;
+                transform: translateX(-30px);
+            }
+            to {
+                opacity: 1;
+                transform: translateX(0);
+            }
+        }
+
+        /* Responsive */
+        @media (max-width: 768px) {
+            .hero h1 {
+                font-size: 2.2em;
+            }
+
+            .hero p {
+                font-size: 1.1em;
+            }
+
+            .nav-links {
+                gap: 1rem;
+                font-size: 0.9em;
+            }
+
+            .section-title {
+                font-size: 2em;
+            }
+
+            .features-grid {
+                grid-template-columns: 1fr;
+            }
+
+            .footer-contact {
+                flex-direction: column;
+                gap: 10px;
+            }
+        }
+    </style>
+</head>
+<body>
+    <!-- Navigation -->
+    <nav>
+        <div class="nav-container">
+            <a href="/" class="nav-brand">📊 Math Score Predictor</a>
+            <ul class="nav-links">
+                <li><a href="#concepts">Concepts</a></li>
+                <li><a href="/predict" class="cta-button">🚀 Try Now</a></li>
+            </ul>
+        </div>
+    </nav>
+
+    <!-- Hero Section -->
+    <section class="hero">
+        <h1>🎓 Machine Learning Math Score Predictor</h1>
+        <p>Predict student math performance using advanced ML algorithms trained on comprehensive educational data</p>
+        <a href="/predict" class="cta-button">🚀 Start Predicting Now</a>
+    </section>
+
+    <!-- Concepts Section -->
+    <section class="concepts" id="concepts">
+        <div class="concepts-container">
+            <h2 class="section-title">Understanding the <span>Concepts</span></h2>
+            
+            <div class="concept-item">
+                <h4>📊 Dataset & Exploratory Data Analysis (EDA)</h4>
+                <p>This project began with analyzing a comprehensive dataset of 1000+ student records. Through EDA, I explored data distributions, identified patterns, detected outliers, and understood correlations between different variables to inform model development.</p>
+            </div>
+
+            <div class="concept-item">
+                <h4>🔧 Feature Engineering & Data Preprocessing</h4>
+                <p>I implemented robust preprocessing pipelines using scikit-learn's ColumnTransformer to handle both numerical and categorical features separately. This included standardization for numerical features and encoding for categorical variables (gender, race, education level, lunch type, test preparation status).</p>
+            </div>
+
+            <div class="concept-item">
+                <h4>🤖 Multiple Supervised Learning Models</h4>
+                <p>I trained and experimented with various machine learning algorithms including Linear Regression, Ridge Regression, Lasso Regression, Decision Trees, Random Forest, Gradient Boosting, and Support Vector Machines to find the best performing model for this prediction task.</p>
+            </div>
+
+            <div class="concept-item">
+                <h4>📈 Model Selection & Performance Metrics</h4>
+                <p>I compared all models using performance metrics like R² Score, Mean Squared Error (MSE), and Mean Absolute Error (MAE). Through careful analysis and comparison of these metrics, I selected the best-performing model that provides accurate and reliable predictions.</p>
+            </div>
+
+            <div class="concept-item">
+                <h4>⚙️ Hyperparameter Tuning</h4>
+                <p>To optimize model performance, I conducted hyperparameter tuning using techniques like Grid Search and Randomized Search. This involved testing different parameter combinations to find the optimal configuration that maximizes the model's predictive accuracy.</p>
+            </div>
+
+            <div class="concept-item">
+                <h4>💾 Model Serialization & Deployment</h4>
+                <p>The trained model and preprocessing pipeline were serialized into pickle files for easy storage and deployment. This allows the model to be loaded and used in production without retraining, enabling real-time predictions through this web interface.</p>
+            </div>
+
+            <div style="background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 30px; border-radius: 10px; margin-top: 30px; text-align: center;">
+                <h3 style="margin-bottom: 15px;">🎓 My Learning Journey</h3>
+                <p style="line-height: 1.8; font-size: 1.05em;">This project represents my comprehensive learning of Machine Learning concepts and practices. It covers the entire ML pipeline from data exploration to model deployment. This is my <strong>first machine learning project</strong>, and I'm excited to showcase what I've learned! Many more projects are on the way as I continue my journey in data science and machine learning. 🚀</p>
+            </div>
+        </div>
+    </section>
+
+    <!-- Footer -->
+    <footer>
+        <div class="footer-content">
+            <div class="footer-section">
+                <h4>About This Project</h4>
+                <p>This ML project demonstrates the practical application of machine learning in educational analytics, showing how data science can be used to understand and predict student performance.</p>
+            </div>
+
+            <div class="divider"></div>
+
+            <div class="footer-section">
+                <h4>Get Started</h4>
+                <p>Ready to predict math scores? Fill in the student information form and get instant predictions powered by machine learning.</p>
+                <a href="/predict" class="cta-button" style="display: inline-block; margin-top: 15px;">Go to Predictor Form</a>
+            </div>
+
+            <div class="divider"></div>
+
+            <div class="footer-contact">
+                <div>
+                    <strong>Created by:</strong> <a href="https://github.com/Aryan45231" target="_blank">Aryan Jaiswal</a>
+                </div>
+                <div>
+                    <strong>Email:</strong> <a href="mailto:aryan78231@gmail.com">aryan78231@gmail.com</a>
+                </div>
+                <div>
+                    <strong>Project Repository:</strong> <a href="https://github.com/Aryan45231/ml-project" target="_blank">View on GitHub</a>
+                </div>
+            </div>
+
+            <div class="divider"></div>
+
+            <p>&copy; 2024 Math Score Predictor | ML Project 1 | All Rights Reserved</p>
+        </div>
+    </footer>
+</body>
+</html>