In the midst of busy society and high lifestyle, there are now many car offerings with
advanced features. The more sophisticated a car is, the price increases. This makes people …

In this study, machine learning (ML) techniques are employed to predict used car prices.
Several features are used to calculate the price of used cars, but in this paper, we find …

Almost 80% of the vehicles required for Bangladesh's road transportation industry are
supplied by reconditioned cars. Using Machine Learning (ML) to predict car prices refers to …

In this paper, we discuss the use of machine learning models that can accurately forecast
the price of a used car based on its attributes and features. In this study, we look at applying …

The market for the purchase and sale of second-hand automobiles has seen a trend towards
expansion in recent years. Used vehicle buyers and sellers are able to conduct business at …

This study primarily aimed to estimate used car prices using the XGBoost Regressor to
enhance accuracy in relation to vehicle data and benchmark this against the AdaBoost …

The automotive industry experiences steady growth and intense competition annually. In the
secondhand car market, accurate pricing is critical for both sellers and customers [1] …

В роботі наведено результати дослідження теми прогнозування тенденцій світового
автомобільного ринку та розроблення системи для розв'язання такої задачі, з метою …