SF Bike Share

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.

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