sota-data-cleaning-feature-selection-eda

Master SOTA data prep for Kaggle comps: automated EDA (Sweetviz), cleaning (Pyjanitor), and feature selection (Polars + XGBoost) for medium datasets (100MB–5GB) in Colab.

$ Installer

git clone https://github.com/raphaelmansuy/machine-learning-feature-selection /tmp/machine-learning-feature-selection && cp -r /tmp/machine-learning-feature-selection/.github/skills/sota-data-cleaning-feature-selection-eda ~/.claude/skills/machine-learning-feature-selection

// tip: Run this command in your terminal to install the skill