Abstract

As a result of incredible technological advancements and research of new technical expertise and huge economic growth of our country, people started to buy cars more than other vehicles. Therefore, there arises an enormous demand for cars, as the demand increases for new cars the used car market also booms alike. But the used car market is highly manipulated by few numbers of people who govern the rates of the used cars and also online selling websites designate the values for the used cars. This paper tries to study and investigate the trends in used car prices and predicts the price of used cars with the help of supervised machine learning algorithms. And to suggest which machine learning algorithm performs well among the selected methods for predicting the cars price. There has been related work done with machine learning algorithms like linear regression, multiple regression, random forest and so on. We wanted to study which algorithm predicts the car price more reliably and accurately.