Trains a linear regression model from a CSV file using Claude and the Model Context Protocol (MCP).
This tool offers an end-to-end machine learning workflow by enabling Claude to train a linear regression model directly from a CSV dataset. It handles data preprocessing, model training, and evaluation, providing the Root Mean Squared Error (RMSE) as a performance metric.
主要功能
01Upload and process CSV datasets
021 GitHub stars
03Integration with Claude Desktop via MCP
04Linear regression model training
05RMSE calculation for model evaluation
06Automated data preprocessing
使用案例
01Training linear regression models without manual coding
02Automated machine learning workflows
03Integration of machine learning into Claude-based applications
