machine-learning
From the author
Use when predicting a column from rows of tabular features with classic models — scikit-learn pipelines, RandomForest, XGBoost/LightGBM, leak-free cross-validation, metrics for imbalanced classes, or a model that aced CV then collapsed in production. NOT PyTorch neural nets (that is `deep-learning`), NOT cleaning the dirty table first (that is `data-cleaning`), NOT forecasting a dated series (that is `forecasting`), NOT text/token modeling (that is `nlp`).
Install
npx skills add ericrisco/rsc-harness --skill machine-learning -a claude-code
Installs to .claude/skills/machine-learning/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 85
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