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.
安装
npx skills add davila7/claude-code-templates --skill scikit-learnnpx skills add davila7/claude-code-templates --skill scikit-learn -a claude-code -gnpx skills add davila7/claude-code-templates --skill scikit-learn -a codex -ggemini skills install https://github.com/davila7/claude-code-templates.git --path cli-tool/components/skills/scientific/scikit-learngh skill install davila7/claude-code-templates scikit-learngit clone --depth 1 https://github.com/davila7/claude-code-templates /tmp/davila7__claude-code-templates
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/scientific/scikit-learn ~/.claude/skills/scikit-learn # Claude Code
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/scientific/scikit-learn ~/.agents/skills/scikit-learn # Codex, Cursor, Gemini CLI, Copilot, OpenCode