Data Science & Analytics
Scikit Learn
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.
- Publisher / source
- zLanqing/codex-claude-academic-skills (found on GitHub top repositories)
- Upstream record
- zLanqing/codex-claude-academic-skills
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
87985a80806e0525383654608d8ee19270565c64a8ae50e168d7b8d158136dcc