There is a growing trend towards purchasing used cars, however, the traditional method such as using standard depreciation models often fall short in capturing the key factors that impact a used car’s value. In this project, we introduce a different approach to used-car price prediction, distinct from the traditional existing methods. Our approach combines both machine learning algorithms and regression techniques. The primary goal is to provide a reliable tool for assisting automobile customers with limited budgets in making well-informed decisions when purchasing pre-owned vehicles.
This project was built collaboratively by Y. Cui, J. Meng, Y. Wang, and J. Yang. Please see the here for more technical details of this project.