Predicting the number of calories burned based on individual biometric and activity features using advanced ensemble machine learning techniques.
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Updated
Jun 4, 2025 - Jupyter Notebook
Predicting the number of calories burned based on individual biometric and activity features using advanced ensemble machine learning techniques.
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.
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