A Comparative Study of Machine Learning Models for Bike Sharing Demand Prediction: A Feature-Centric Approach
As smart city initiatives advance globally, precisely forecasting bike sharing demand has emerged as a critical challenge for optimizing urban transit systems and allocating resources efficiently. This study aims to compare the performance of three classical machine learning models — Linear Regression, Decision Tree, a...