machine-learning in Python
This machine-learning project in Python offers a robust web-interface and REST API for both classification and regression tasks. Users can easily deploy it using either Rancher or Docker Compose, ensuring flexibility across different environments. Comprehensive documentation guides users through installation, API usage, and best practices for contributing code.
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Top machine-learning in Python Features
- Web-based user interface
- RESTful API support
- Multiple algorithm support
- Docker-compose deployment option
- Rancher ecosystem compatibility
- Unit testing included
- Token-based authentication
- CSV/JSON/XML dataset support
- Customizable endpoint configurations
- Extensive documentation available
- Integrated feedback mechanism
- Contribution guidelines adherence
- Pre-built installation scripts
- Programmatic data manipulation
- Dynamic port forwarding
- Cross-platform compatibility
- Secure HTTPS connections.
