Demo-ML-Pipeline
PublicData ingestion & validation → ? Feature engineering with versioned datasets (DVC) → ? Model training with tunable parameters → ? Performance evaluation & metrics logging (MLFlow) → ? Automated orchestration via Astronomer/Airflow DAGs → ? Continuous integration with reproducible experiments and versioned artifacts for deployments