CS4210-ML-Project

The topic of this project is to focus on predicting traffic. Dealing with heavy traffic can cause unexpected delays, leading to more time wasted on the road, tardiness, and other possible issues. The objective is to train multiple accurate machine learning models using supervised learning techniques to classify road traffic at various levels of severity. The second objective is to compare the performance of the models. Along with being able to accurately classify traffic, we aim to discover which factors have the most impact on traffic severity.