home/categories/data-engineering/vasilyu1983-ai-agents-public-frameworks-shared-skills-skills-ai-ml-data-science-skill-md
data-engineeringdata-ai
ai-ml-data-science
End-to-end data science patterns (modern best practices): problem framing -> data -> EDA -> feature engineering (with feature stores) -> modelling -> evaluation -> reporting, plus SQL transformation (SQLMesh). Emphasizes MLOps integration, drift monitoring, and production-ready workflows.
maintainer
vasilyu1983
更新於 1/9/2026
星標
24
分支
6
quick start
Installation and usage
End-to-end data science patterns (modern best practices): problem framing -> data -> EDA -> feature engineering (with feature stores) -> modelling -> evaluation -> reporting, plus SQL transformation (SQLMesh). Emphasizes MLOps integration, drift monitoring, and production-ready workflows.
安裝
$ install --globalskills.sh
使用
安裝後，您可以通過在終端運行以下命令來使用此技能：
skills use ai-ml-data-science