Abstract
Abstract: Car price prediction is an active research topic that requires a lot of data and effort. The car market is a significant industry as a result of the tremendous expansion in vehicle production in recent years. The recent emergence of online marketplaces has strengthened the need for users and sellers to stay informed about the most recent market trends related to the subject. Our goal is to create a reliable and accurate model to forecast the cost of a used car based on a set of characteristics. To this end, we are utilizing the machine learning algorithm linear regression. When estimating the potential price of a car, we consider factors such as the company name, model name, year of purchase, fuel type, and number of miles driven.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
