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aryan9867bar / bank-churn-mlops

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End-to-end MLOps pipeline for Bank Customer Churn Prediction using Python, Scikit-learn, MLflow, Docker, GitHub Actions, GCP Artifact Registry, and Cloud Run. Includes data preprocessing, model training, experiment tracking, model evaluation, containerized API deployment, CI/CD automation, and production-ready inference.

python docker machine-learning scikit-learn gcp google-cloud classification mldb mlops mlflow github-actions fastapi customer-churn cloud-run artifact-registry mlops-workflow mlops-pipeline mlops-cloud
  • Updated Aug 10, 2026
  • Jupyter Notebook

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