Predict the number of bike trips
Built a Machine Learning model which will predict the number of bike trips for a given day for a San Franscisco's Bike sharing service.
Dataset used to build the model was obtained from Kaggle. The predictive models used were Random Forest Regressor, Gradient Boosting Regressor etc.