AutoML Application

• 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