ML Project Structure & Reproducibility — Roadmap Step & Resources
Organizing code, data and configuration so results can be reproduced later
- Level: advanced
- Estimated time: 1 days
- Roadmap: Machine Learning
Interview questions
- What makes an ML experiment 'reproducible' months after it was originally run?
Study resources
- Cookiecutter Data Science (Article) — A widely-adopted standardized project template for data science and ML projects.
- Structuring ML Projects Explained (Video) — A practical walkthrough of organizing an ML codebase for reproducibility.
Part of
- ML Engineering & MLOps Fundamentals — section
- Machine Learning roadmap — the full learning path