Scikit Learn
zLanqing/codex-claude-academic-skills/scientific-toolkit-skill/references/scientific-skills/scikit-learnby zLanqing7ed6377f0efb6a38951b48ef03b19d996e454b1fBSD-3-Clause licenseListed Oct 9, 2026Updated Oct 9, 2026
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 | 15.2 KB | text/markdown |
Source and attribution
Source:zLanqing/codex-claude-academic-skillsinscientific-toolkit-skill/references/scientific-skills/scikit-learnat commit7ed6377
License: BSD-3-Clause license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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