Predicting the Price of Used Cars using Machine Learning Techniques

With the growing automobile industry, the market for second hand car has increased exponentially and it becomes important to figure out what should be the value of a certain car with certain features be. As customers and sellers both need to be better informed about the exact price in the market with the data available so that the user doesn’t encounters the loss. In this paper, we investigate the applications of Machine Learning techniques to predict the price of car. Using Machine Learning Algorithms such as Linear regression, Decision tree, XG Boost regression, I tried to develop a model which help us to find the more accurate value of the used car based on the features and the data available. In this we will compare the accuracy of these models.