Reproducible MLOps pipeline for red-wine quality classification, built end-to-end with DVC: provenance-tracked data, a versioned multi-stage pipeline, experiment tracking, cloud remotes, and CI that rebuilds the model.
-
Updated
Jul 1, 2026 - Python
Reproducible MLOps pipeline for red-wine quality classification, built end-to-end with DVC: provenance-tracked data, a versioned multi-stage pipeline, experiment tracking, cloud remotes, and CI that rebuilds the model.
Add a description, image, and links to the ci-cd-github-actions topic page so that developers can more easily learn about it.
To associate your repository with the ci-cd-github-actions topic, visit your repo's landing page and select "manage topics."