Recommendation System For E-bicycle Usage and Maintaining Stations

Abstract

E-Bicycle sharing stations are suffering huge losses due to improper positioning of the stations and hence the potential of these stations could not be fully unlocked to its fullest due to lack of proper knowledge and insights about the user needs. This leads to a factor of loss among the businesses and thus creates negative environment for this sector. This project represents how the proper use of data about any particular aspect would lead to a great insight into that particular area which would not have been possible normally. This shows how the use of Various Machine Learning Algorithms would benefit a particular industry like E-Bike rental stations and help them to properly locate their stations for maximum profitability. By using the data we can optimize Business needs which helps the Owners of that Business tremendously.