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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.

Install Skill

Shared

Installs to .agents/skills, used by Codex, Amp, Warp, Cursor, OpenCode, and more.

CodexAmp
Warp
CursorOpenCode
Cline
Gemini CLI
GitHub Copilot
Personal

Available across projects.

$npx skills-installer add @K-Dense-AI/scientific-agent-skills/scikit-learn --client shared
Project

Writes to .agents/skills.

$npx skills-installer add @K-Dense-AI/scientific-agent-skills/scikit-learn -p --client shared
Note: Review the skill instructions before using it.

SKILL.md

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