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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New here? These commands run inside Claude Code, Anthropic's terminal-based coding assistant — not your regular shell. Open a terminal, type claude to start a session, then paste the two lines below inside it.
npx skills add k-dense-ai/scientific-agent-skills --skill "scikit-learn" -a claude-code -g -yPaste into a Claude Code session. This only adds/installs the plugin — nothing runs automatically.
O, si ya vinculaste skillcat-sync, envíalo directamente — te pedirá confirmar antes de tocar nada.
This listing is sourced from k-dense-ai/scientific-agent-skills. The security badge above comes from a third-party audit (skills.sh) — we haven't independently executed or reviewed this code ourselves. Review the source before installing.
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