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Browse files- Script.py +30 -0
- estimator1.pkl +3 -0
- requirements.txt +49 -0
Script.py
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import pandas as pd
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import numpy as np
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#from matplotlib import pyplot as plt
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#import seaborn as sns
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import sklearn
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from sklearn.preprocessing import RobustScaler, StandardScaler, OneHotEncoder, OrdinalEncoder, PowerTransformer
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from sklearn.compose import ColumnTransformer
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from sklearn.pipeline import Pipeline
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from sklearn.model_selection import train_test_split
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from sklearn.linear_model import LinearRegression
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import pickle
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import streamlit as st
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st.image("https://www.innomatics.in/wp-content/uploads/2023/01/Innomatics-Logo1.png")
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st.title("Diamond Price Prediction")
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carat = st.number_input("Enter the carat value")
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cut = st.text_input("Enter the cut of the diamond")
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color = st.text_input("Enter the color code of the diamond")
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clarity = st.text_input("Enter the clarity code")
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depth = st.number_input("Enter the depth of the diamond")
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table = st.number_input("Enter the table value")
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x = st.number_input("Enter the length of diamond")
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y = st.number_input("Enter the width of the diamond")
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z = st.number_input("Enter the z of the diamond")
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model_1 = pickle.load(open(r"C:\\Users\\Dream\\Downloads\\estimator1.pkl","rb")) #pickle file path
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if st.button("Submit"):
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result = model_1.predict([[carat,cut,color,clarity,depth,table,x,y,z]])
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st.write(f"The predicted price of the diamond is {result}")
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estimator1.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:cda5795da45751bfcd41ca41041cf8cd0e9b3d977a5000f9a8851cdd08fd9803
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size 3835
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requirements.txt
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altair 5.5.0
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attrs 24.2.0
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blinker 1.9.0
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cachetools 5.5.0
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certifi 2024.8.30
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charset-normalizer 3.4.0
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click 8.1.7
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colorama 0.4.6
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gitdb 4.0.11
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GitPython 3.1.43
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idna 3.10
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Jinja2 3.1.4
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joblib 1.4.2
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jsonschema 4.23.0
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jsonschema-specifications 2024.10.1
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markdown-it-py 3.0.0
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MarkupSafe 3.0.2
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mdurl 0.1.2
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narwhals 1.18.3
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numpy 2.2.0
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packaging 24.2
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pandas 2.2.3
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pillow 11.0.0
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pip 23.2.1
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protobuf 5.29.1
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pyarrow 18.1.0
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pydeck 0.9.1
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Pygments 2.18.0
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python-dateutil 2.9.0.post0
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pytz 2024.2
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referencing 0.35.1
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requests 2.32.3
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rich 13.9.4
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rpds-py 0.22.3
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scikit-learn 1.6.0
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scipy 1.14.1
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setuptools 65.5.0
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six 1.17.0
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smmap 5.0.1
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streamlit 1.41.1
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tenacity 9.0.0
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threadpoolctl 3.5.0
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toml 0.10.2
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tornado 6.4.2
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typing_extensions 4.12.2
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tzdata 2024.2
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urllib3 2.2.3
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watchdog 6.0.0
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