This paper is published in Volume-7, Issue-4, 2021
Area
Computer Science and Engineering
Author
Navaneeth M., I. S. Manoj Kumar, Dharshan N., Gavini Hitesh, H. K. Vedamurthy
Org/Univ
Siddaganga Institute of Technology,Tumkur, Karnataka, India
Pub. Date
23 July, 2021
Paper ID
V7I4-1492
Publisher
Keywords
Car, Price, Prediction, Machine Learning, Random Forest, ExtraTreeRegression

Citationsacebook

IEEE
Navaneeth M., I. S. Manoj Kumar, Dharshan N., Gavini Hitesh, H. K. Vedamurthy. Car resale value prediction, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Navaneeth M., I. S. Manoj Kumar, Dharshan N., Gavini Hitesh, H. K. Vedamurthy (2021). Car resale value prediction. International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.

MLA
Navaneeth M., I. S. Manoj Kumar, Dharshan N., Gavini Hitesh, H. K. Vedamurthy. "Car resale value prediction." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.

Abstract

India is one of the biggest automobile markets. All over the globe every day many buyers tend to sell their cars after using them for few years. cars24.com, cardekho.com, and OLX.com provide buyers and sellers with an online platform where they can sell and buy used cars. But what should be the price of the car, this is the biggest question ever. Machine Learning algorithms can provide a solution to this problem. Using the history of previously used cars selling data and machine learning techniques such as Supervised Learning we can predict the price of the car. Here the machine learning algorithms such as Random Forest and Extra Tree Regression are used to predict the selling price of the used cars. The result has shown that both algorithms are highly accurate in prediction even the dataset is large or small, irrespective of the size of the dataset they give a precise result.