ML Web Platform

A comprehensive web-based platform for building and deploying machine learning models with minimal coding.

Features

• Data loading from local files or popular ML libraries
• Automatic preprocessing detection and application
• Interactive data visualization
• Support for both supervised and unsupervised learning
• Model evaluation and comparison tools
• Local model saving and loading
• Caching system for better performance

Setup

1. Clone the repository
2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Copy .env.example to .env and configure:

   cp .env.example .env

5. Run the application:

   python run.py

Project Structure

ml_web_platform/
├── app/                    # Main application package
│   ├── ml/                # Machine learning components
│   ├── routes/            # Flask routes
│   ├── static/            # Static files
│   └── templates/         # HTML templates
├── cache/                 # Cache storage
├── saved_models/         # Saved model storage
├── saved_visualizations/ # Saved plots
└── tests/               # Test suite

Development

• Run tests: pytest
• Format code: black .
• Lint code: flake8

Contributing

See CONTRIBUTING.md for contribution guidelines.