Full MLOps pipeline with DVC for data/model versioning, MLflow for experiment tracking, & Airflow DAGs orchestrating data ingestion, validation, feature engineering, training & evaluation. Integrated CI/CD using GitHub Actions to automate container builds & delivery workflows. Deploys trained model via Dockerhub to a local Kubernetes cluster.
docker continuous-integration continuous-delivery kubernetes-service kubernetes-deployment apache-airflow dvc mlops mlflow github-actions stats-test
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Updated
Nov 18, 2025 - Jupyter Notebook