About the project: Sweet Lift Taxi company has collected historical data on taxi orders at airports. To attract more drivers during peak hours, we need to predict the amount of taxi orders for the next hour. Build a model for such a prediction. The RMSE metric on the test set should not be more than 48.
Summary results: After the exploration and feature engineering to create new features for the data,different models were used in training with the best score of 43.24.