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.
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Installation for Agentic Skill
View all platforms →skilz install davila7/claude-code-templates/scikit-learnskilz install davila7/claude-code-templates/scikit-learn --agent opencodeskilz install davila7/claude-code-templates/scikit-learn --agent codexskilz install davila7/claude-code-templates/scikit-learn --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ 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/davila7/claude-code-templatescp -r claude-code-templates/cli-tool/components/skills/scientific/scikit-learn ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- claude-code-templates
- Type
- Non-Technical
- Meta-Domain
- general
- Primary Domain
- general
- Sub-Domain
- machine learning models model
- Market Score
- 35
Browse Category
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