DMP: Predicting Bike Rental Demand for Smarter Urban Mobility

This project focuses on predicting bike rental demand in Seoul using machine learning techniques. It includes an XGBoost-based model trained on publicly available Seoul bike rental data. The repository contains the trained model, the code for training and evaluation, prediction results in CSV format, and a visualization comparing the ground truth and predicted values