Scikit Learn
by davila78da17d671b6fNo license32K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated today
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/model_evaluation.md | 15.1 KB | text/markdown |
| references/pipelines_and_composition.md | 14.4 KB | text/markdown |
| references/preprocessing.md | 15.2 KB | text/markdown |
| references/quick_reference.md | 11.2 KB | text/markdown |
| references/supervised_learning.md | 10.8 KB | text/markdown |
| references/unsupervised_learning.md | 14.1 KB | text/markdown |
| scripts/classification_pipeline.py | 7.9 KB | text/plain |
| scripts/clustering_analysis.py | 11.1 KB | text/plain |
| SKILL.md | 15.1 KB | text/markdown |
Source and attribution
Source:davila7/claude-code-templatesincli-tool/components/skills/scientific/scikit-learnat commit8da17d6
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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