TrainerML
Automates machine learning workflows, from data analysis to model deployment, with Model Context Protocol integration.
About
TrainerML is an advanced machine learning platform that streamlines the entire ML lifecycle. From intelligent data preprocessing and automated problem detection to algorithm selection, feature engineering, hyperparameter tuning, and model deployment, it simplifies complex tasks with an intuitive interface and seamless Model Context Protocol (MCP) integration. This platform supports a wide range of ML algorithms and provides interactive visualizations for model interpretability, making it ideal for both novice and expert users.
Key Features
- Generates interactive visualizations for model explanations
- Automated data analysis and preprocessing
- Offers seamless integration with AI assistants through MCP
- Exports trained models as pickle files
- Supports over 15 ML algorithms with hyperparameter tuning
- 0 GitHub stars
Use Cases
- Customer churn prediction using ensemble models
- Automated EDA and model comparison for research and development
- Sales forecasting with automated feature engineering