Scikit Learn
k-dense-ai/scientific-agent-skillsMachine learning in Python is made simple with scikit-learn. This powerful library handles classification, regression, and clustering tasks. It also helps with data preprocessing and building pipelines.
Data scientists and analysts use it for model evaluation and tuning. The skill covers all steps from data splitting to final predictions. It runs on Python 3.11 and above.
Add Scikit Learn skill to your workflow
Global
mkdir -p ~/.claude/skills/scikit-learnProject
mkdir -p .claude/skills/scikit-learnSource Repository
More Data Science & ML Claude Code Skills
Explore Runlllllllama/rigorpilot-skills
Plan and rank quick deep learning exploration runs with clear boundaries
Run Trainlllllllama/rigorpilot-skills
Run deep learning training conservatively with structured logs and metrics
Env And Assets Bootstraplllllllama/rigorpilot-skills
Safe and careful setup of conda environments and asset paths for deep learning reproduction
Env And Assets Bootstraplllllllama/ai-paper-reproduction-skill
Prepare conda-first environment and asset paths for deep learning reproduction
Data Visualizationanthropics/knowledge-work-plugins
Pick the right chart, write clean Python code, and design for everyone
Powerbi Modelinggithub/awesome-copilot
Expert guidance for building optimized Power BI semantic models with star schemas and DAX
Power Bi Dax Optimizationgithub/awesome-copilot
Make your Power BI DAX formulas faster and easier to maintain
Bigquery Basicsgoogle/skills
Easily analyze massive datasets with SQL and built-in machine learning