A Study on used Cars Price Prediction using Regression Model with Reference to Cartrade.Com

Predicting the true value of used cars requires helps customers to know best price to buy in online used cars market. The aim of this project is developing machine learning models to predict used cars price accurately based on its features, such as car model, fuel type, number of owners, kilometers driven, etc. The results shows that Random Forest model and K Means clustering with linear regression yield the best results, using python. Out of the three models, Random Forest model predicted price with more accuracy. Y. Sudheer | Dr. P. Viswanath "A Study on used Cars Price Prediction using Regression Model with Reference to Cartrade.Com" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-6 , October 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51956.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/51956/a-study-on-used-cars-price-prediction-using-regression-model-with-reference-to-cartradecom/y-sudheer