
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
Research & Data · Developer Tools

heetvekariya/linear-regression-mcp
Welcome to Linear Regression MCP! This project demonstrates an end-to-end machine learning workflow using Claude and the Model Context Protocol (MCP).
{
"mcpServers": {
"linear-regression": {
"command": "ABSOLUTE/PATH/TO/.local/bin/uv",
"args": [
"--directory",
"<value>",
"run",
"server.py"
]
}
}
}Claude can train a Linear Regression model entirely by itself, simply by uploading a CSV file containing the dataset. The system goes through the entire ML model training lifecycle, handling data preprocessing, training, and evaluation (RMSE calculation).
get_columns_info
Retrieves the column names in the uploaded dataset.
check_category_columns
Checks for any categorical columns in the dataset.
label_encode_categorical_columns
Label encodes categorical columns into numerical values.
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

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