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eta-prediction

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Roshankikani / food-delivery-eta-prediction-system

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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
  • Updated May 11, 2025
  • Python

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