This project demonstrates the training of a linear regression model using Claude and the Model Context Protocol (MCP) for an end-to-end machine learning workflow. Users only need to upload a CSV dataset, and the system can automatically complete the entire process of data preprocessing, model training, and evaluation (RMSE calculation).

The MCP tool is a tool for managing model context in GitHub repositories, supporting version tracking, dataset management, performance recording, and documentation of training configurations.

This project is a research on automated medical coding, providing code for training and evaluating medical coding models on the MIMIC - III and MIMIC - IV datasets, including the implementation of multiple models and the division of new datasets.