Individual skill
scikit-learn
Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines. For unsupervised analysis, classification, or prediction. For econometric regression use pyfixest/statsmodels.
skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn/SKILL.md
Source commit 8684584e7d1127940f018157d2c579974fae8f79
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- Yes
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- Observed behavior
- Not checked yet
- Last checked
- Nov 10, 2026
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Repository context
- Repository stars (not skill ratings)
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- Repository last updated
- Nov 9, 2026
- License
- NOASSERTION
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Browse files
SKILL.mdcore · 18,741 bytesSKILL.mdcore · 18,741 bytesSKILL.mdcore · 18,741 bytesreferences/classification.mddoc · 10,171 bytesreferences/clustering.mddoc · 9,603 bytesreferences/decomposition.mddoc · 7,447 bytesreferences/evaluation-supervised.mddoc · 8,841 bytesreferences/evaluation-unsupervised.mddoc · 9,052 bytesreferences/fairness.mddoc · 12,881 bytesreferences/feature-selection.mddoc · 6,887 bytesreferences/gotchas.mddoc · 10,378 bytesreferences/interpretation.mddoc · 13,695 bytesreferences/manifold.mddoc · 6,387 bytesreferences/mixture-models.mddoc · 5,257 bytesreferences/preprocessing.mddoc · 7,012 bytesreferences/quickstart.mddoc · 5,384 bytesreferences/regression-ml.mddoc · 7,813 bytes
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