Price Evaluation of used Car using Machine Learning Technique

With the rapid growth of the number of private cars and the development of used car market, used car become the first choice for the customers for various reasons like financial capability, overpriced car and so on. The online used car platform provides both the seller and buyer person to person trade. For such type of systems, the accuracy of used car price evalution check whether the seller and buyer can get more efficient platform. For this paper, we have conducted a comparative study on the performance of regression based on supervised machine learning models. Each model is trained using data from the used car market collected from the German e-commerce website. Car price prediction enable the customers to make decisions based on different inputs or factors namely name of the car, Year of manufacturing, type of fuel, Price range, etc