📊Data
38
63

ai-ml-data-science

End-to-end data science and ML engineering workflows: problem framing, data/EDA, feature engineering (feature stores), modelling, evaluation/reporting, plus SQL transformations with SQLMesh. Use for dataset exploration, feature design, model selection, metrics and slice analysis, model cards/eval reports, experiment reproducibility, and production handoff (monitoring and retraining).

#machine-learning#data-analysis#data-management#sql
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>_npx skills add vasilyu1983/ai-agents-public
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Repositoryvasilyu1983/ai-agents-public
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Last UpdatedFeb 24, 2026
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