Second Sale Car Price Prediction using Machine Learning Algorithm

Every business firm recognizes the need of making sound and challenging decisions. Poor decisions can lead to substantial losses and even the demise of a firm. This paper is focused on one of the retail enterprises, which deals with the used car sales. The major goal is to develop a prediction model that can estimate the selling price of used cars based on key factors. Machine learning techniques such as Random Forest Regression, Feature engineering technique such as Extra Trees Regression are employed to accomplish the goal as Random Forest Regression is modeled for prediction analysis and Extra Trees Regression fits the number of decision trees. The results are so encouraging with our approach.