Car Sales Price Prediction using MLR, Random Forest and Support Vector Machine

Abstract

This paper focuses on the car sales dataset and the algorithm required to remove the desired prediction. This data set is officially collected from cars24.com, which describes the selling price of second-hand vehicles based on other parameters. The purpose of this study is to discuss different algorithms that can be applied to obtain the prediction and the accuracy of the data. Different obstacles were faced while designing the algorithms.