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Bike Rental Demand Prediction: Built regression model to forecast hourly bike rentals in DC using time-based features and Gradient Boosting Regressor. Achieved R² of 0.965, RMSE of 33.94, and MAE of 22.49. Created Streamlit web app for real-time rental predictions.
LukeMercouris/Bike_Rental_Predictor
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Bike Rental Demand Prediction: Built regression model to forecast hourly bike rentals in DC using time-based features and Gradient Boosting Regressor. Achieved R² of 0.965, RMSE of 33.94, and MAE of 22.49. Created Streamlit web app for real-time rental predictions.
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