---
license: mit
language:
- en
metrics:
- accuracy
- roc_auc
- precision
- f1
- confusion_matrix
base_model:
- Gourav18/AutoML
new_version: Gourav18/AutoML
library_name: sklearn
tags:
- code
- AutoMl
---
AutoML

# AutoML Application

An automated machine learning application built with Streamlit that helps users to:
- Load and preprocess data
- Train multiple ML models (Logistic Regression, SVM, Random Forest)
- Automatically select the best model
- Visualize model performance
- Make predictions with the trained model

## Features

- **Data Upload & Analysis**: Upload CSV or Excel files, view statistics, and visualize correlations
- **Automated Data Preprocessing**: Handle missing values and categorical encoding
- **Model Training**: Train multiple models with hyperparameter tuning
- **Model Visualization**: Compare model performance with various metrics
- **Prediction**: Make predictions using the trained model

## Setup

1. Clone this repository
2. Install the requirements:
   ```
   pip install -r requirements.txt
   ```
3. Run the application:
   ```
   streamlit run main.py
   ```