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Build and evaluate ML models with proper feature engineering
claude install community/ml-model-builderML workflow assistant: feature engineering, model selection, hyperparameter tuning, cross-validation, and performance evaluation with sklearn and PyTorch.
mkdir -p ~/.claude/skills/ml-model-builder~/.claude/skills/ml-model-builder/SKILL.mdResulting file structure:
~/.claude/
skills/
ml-model-builder/
SKILL.md <-- skill definitionSkills are loaded automatically by Claude Code when you start a new session. The skill name and description in the frontmatter determine when Claude triggers it.
Recommended from shared domain, career, and tool overlap with ML Model Builder
Build data pipelines with extraction, transformation, and loading
Both used by Data Scientist
Analyze datasets with statistics, correlations, and visualizations
Both used by Data Scientist
Generate publication-quality charts from any data format
Both used by Data Scientist
Generate data dictionaries with business context from database schemas
Both used by Data Scientist
Generate data pipeline tests that catch schema and quality issues
Both used by Data Scientist
Generate complete Jupyter notebooks for EDA and model training
Both used by Data Scientist
ML Model Builder