Machine Learning Engineering Workflow

Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.

Source: github.com/affaan-m/ECC/tree/main/skills/mle-workflow · License: MIT