Linear Regression

About

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.

Key Features

• Upload and process CSV datasets
• 1 GitHub stars
• Integration with Claude Desktop via MCP
• Linear regression model training
• RMSE calculation for model evaluation
• Automated data preprocessing

Use Cases

• Training linear regression models without manual coding
• Automated machine learning workflows
• Integration of machine learning into Claude-based applications