Data Science Best Practices with Kedro
summary
Kedro is presented as a framework to enforce data science best practices and standardize workflows so teams avoid inconsistencies and rework. The talk explains how Kedro structures projects and development processes to make collaboration and reproducibility easier when multiple data scientists contribute to a solution.
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chapters (12)
- 0:00Introduction
- 3:01Data science best practices
- 5:07Cookie Cutter overview
- 8:00Install & structure
- 11:12Make commands & setup
- 15:07Directory structure
- 19:06Model versioning
- 24:06Yetunde & Kedro intro
- 31:06Kedro development
- 32:15Kedro install & structure
- 34:05Cookie Cutter vs Kedro
- 37:20Kedro advantages & conclusions
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