Summary

This project develops diverse models to predict the number of taxi orders in the next hour at airports. The company Sweet Lift Taxi aims to create a tool to optimize driver availability during peak hours.
The main objective is to implement a model that anticipates taxi demand within a one-hour time window, based on historical order data from airports. To be effective, the model must achieve an RMSE metric no greater than 48 on the test set.

Github repository