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
์
๋ฐ์ดํธ๋จ 2026. 1. 9.
์คํ
24
ํฌํฌ
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.
์ค์น
$ install --globalskills.sh
์ฌ์ฉ๋ฒ
์ค์น ํ ํฐ๋ฏธ๋์์ ๋ค์ ๋ช ๋ น์ ์คํํ์ฌ ์ด ์คํฌ์ ์ฌ์ฉํ ์ ์์ต๋๋ค:
skills use ai-ml-data-science