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Optimizing-Bluebikes-Operations-with-Machine-Learning-Based-Demand-Prediction

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An end-to-end MLOps platform leveraging distributed orchestration (Apache Airflow), experiment tracking (MLflow), and containerized microservices (Docker) to deliver real-time demand forecasting for Boston's Bluebikes network. The system implements a multi-algorithm ensemble architecture (XGBoost, LightGBM, Random Forest) with automated hyperparame

Creat2025-09-15T12:16:36
Update2025-11-19T08:28:22
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