A full-stack machine learning architecture for food delivery ETA prediction, leveraging a DVC-driven pipeline, automated CI/CD workflows, cloud artifact management, and LGBM-based stacked regression ensemble for high-fidelity time estimations.
python docker machine-learning lightgbm cicd feature-engineering data-version-control food-delivery mlops fastapi prediction-system model-ensemble ml-deployment dvc-pipeline aws-s3-bucket dagshub eta-prediction delivery-forecasting stacking-regression
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Updated
May 11, 2025 - Python