Version control & reproducible workflows

Best practices for versioning code, analysis notebooks, containers, and workflows to keep research auditable and reproducible.


Template

ML experiment notebook template (tracking & reporting)

A practical, copy-ready notebook template with structured experiment metadata, dataset/version provenance, preprocessing and feature records, training and hyperparameter sections, evaluation reporting, model artifact provenance, and a reproducibility checklist — plus guidance for lightweight tracking integrations.

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