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