This paper is published in Volume-7, Issue-4, 2021
Area
Machine Learning
Author
Abhishek Jha, Dr. Ramveer Singh, Manish, Imran Saifi, Shipra Srivastava
Org/Univ
Greater Noida Institute of Technology, Greater Noida, Uttar Pradesh, India
Pub. Date
19 July, 2021
Paper ID
V7I4-1434
Publisher
Keywords
Used Car Price, Car Price Prediction, Prediction Model, Machine Learning, Random Forest Regression, Seaborn, Python, Flask, Pandas, Numpy.

Citationsacebook

IEEE
Abhishek Jha, Dr. Ramveer Singh, Manish, Imran Saifi, Shipra Srivastava. Used car price prediction, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Abhishek Jha, Dr. Ramveer Singh, Manish, Imran Saifi, Shipra Srivastava (2021). Used car price prediction. International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.

MLA
Abhishek Jha, Dr. Ramveer Singh, Manish, Imran Saifi, Shipra Srivastava. "Used car price prediction." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.

Abstract

This research paper is the combination of datasets collected by cardekho.com and we have used ML to predict the price of a used car by creating a model using python, flask, and HTML the algorithm that we have used is Random Forest Regression. The price of the car is determined by the manufacturer and not everyone can afford it so they look for some low-cost alternative such as used car and this helps to build a big and evergreen used car market but due to the price irregularities this market is facing lots of problems so we have used machine learning to develop a new model that will predict the price and help consumers to buy the used car at a perfect price.