In this project, The aim is to build a predictive model to estimate used vehicle prices based on various attributes such as brand, model, mileage, engine type, transmission, etc. I am utilizing a dataset containing vehicle information that is readily available on Kaggle. This dataset comprises 188,532 data points, each representing a unique vehicle listing, and includes 13 distinct features providing valuable insights into the world of automobiles.