mlfl

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Atharva-khetale / churn-mlops

End-to-end MLOps project demonstrating production ML engineering: automated data pipelines, multi-model training, MLflow tracking, model registry, FastAPI deployment, drift detection, DVC, Docker, and GitHub Actions CI/CD.

ml ci-cd mlops mlfl mlengineering end-to-end-ml-pipeline

Updated Jul 26, 2026
Python

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