Predict optimal selling prices for used cars using data-driven regression models. This project involves analyzing historical car sale data using Python libraries like NumPy, Pandas, and Matplotlib to create a price prediction model. It mimics the role of a price analyst at Spinny, focused on maximizing vehicle sales.