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.
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →skilz install jackspace/ClaudeSkillz/scikit-learnskilz install jackspace/ClaudeSkillz/scikit-learn --agent opencodeskilz install jackspace/ClaudeSkillz/scikit-learn --agent codexskilz install jackspace/ClaudeSkillz/scikit-learn --agent geminiFirst time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/jackspace/ClaudeSkillzcp -r ClaudeSkillz/skills/scientific-pkg-scikit-learn ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- ClaudeSkillz
- Type
- Technical
- Meta-Domain
- development
- Primary Domain
- python
- Market Score
- 12
Browse Category
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