Car Price Prediction

Authors

  • Anuj Shashikant Nalawade Student, Department of Computer Engineering, JSPM Rajarshi Shahu College of Engineering, Pune, India
  • Jay Sunil Giridhar Student, Department of Computer Engineering, JSPM Rajarshi Shahu College of Engineering, Pune, India
  • Avishkar Sanjay Kalate Student, Department of Computer Engineering, JSPM Rajarshi Shahu College of Engineering, Pune, India
  • Sachin Anil Chaudhari Student, Department of Computer Engineering, JSPM Rajarshi Shahu College of Engineering, Pune, India

Keywords:

car price, machine learning, gradient boosting

Abstract

Nowadays, owning a car is normal. People buy cars based on the price of the car, the model of the car, the usability of the car, the sturdiness of the car and the included features in the car, But the most important point considered while buying a car is its price. This car price prediction system predicts the selling price of a car. It predicts the car’s price based on its model, its included features, its quality, and how much miles or kilometers it has been driven. The primary purpose is to design a model for a given dataset and predict the car price with better accuracy.

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Published

30-04-2023

Issue

Vol. 4 No. 4 (2023)

Section

Articles

License

Copyright (c) 2023 Anuj Shashikant Nalawade, Jay Sunil Giridhar, Avishkar Sanjay Kalate, Sachin Anil Chaudhari

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
A. S. Nalawade, J. S. Giridhar, A. S. Kalate, and S. A. Chaudhari, “Car Price Prediction”, IJRAMT, vol. 4, no. 4, pp. 149–150, Apr. 2023, Accessed: Dec. 21, 2024. [Online]. Available: https://journals.ijramt.com/index.php/ijramt/article/view/2683