PREDICTION OF PRICES FOR USED CAR USING LINEAR REGRESSION AND SUPPORT VECTOR REGRESSION

Abstract

The objective of this endeavour is to Prediction of Prices for used Cars using Linear Regression and Support Vector Regression. The typical check for the resale worth of a vehicle is tor the most part basic in the field of present assessment and advancement. i The essential credits are taken into account when estimating the vehicle's resale value. Setting up the links reveals the fundamental relationships between distinct attributes. The cost of the car is used as the dependent variable for the target assumption in this analysis. ' i : jj i I i .: The gauge's data was gathered via the internet. The sensitivity of linear regression estimation is perceived and applied in this research effort for unequivocally predicting the resale value of the car based on the essential attributes that are chosen subject to the most important relationship. : i! it : ! is ; The investigation's findings suggest that the constructed model has a precision of up to 90%, with only 10% ofthe errors remaining