About this document
Machine Learning for Used Car Price Prediction by Hoàng Liêm is a document available to read on EtoBox.
This study focuses on improving the accuracy of used car price predictions using machine learning models, specifically linear regression, decision tree regressor, and random forest regressor. The analysis of over 2000 data points from popular car brands indicates that the random forest regressor outperforms the other models, achieving an R-square value of 0.8562. The research highlights the importance of selecting appropriate machine learning methods to provide accurate price estimates for buyers and seller
- Author
- Hoàng Liêm
- Language
- EN