This machine learning project aims to revolutionize the accuracy and efficiency of predicting Uber's fare and ride demand by leveraging a comprehensive set of factors. The model integrates crucial variables such as distance, surge pricing, pickup and drop-off locations, weather conditions, wind speed, traffic patterns, and journey time.
https://drive.google.com/drive/folders/1zZkXOtW6s0SgtKDZ-DOMHhUQRbn7dp3X?usp=drive_link