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.

by raphaelmansuy· Repository·data
Run in AgentAreaBrowse All Skills
Also installable via skills CLI
npx skills add raphaelmansuy/machine-learning-feature-selection/.github/skills/sota-data-cleaning-feature-selection-eda

Source

Repo:SkillsMP + GitHub Raw
Path:.github/skills/sota-data-cleaning-feature-selection-eda(main)

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sota-data-cleaning-feature-selection-eda | AgentArea Skills