Analysis of Car Selling Prediction Based On AIML

Abstract

– The purpose of this research paper is to develop a predictive model for car sales using machine learning techniques. We explore various factors that affect car sales and use them as features to train and test our model. We collected data from various sources, including online car listings, car dealerships, and demographic data. Our findings show that demographic factors, such as age, income, and education, play a significant role in predicting car sales. Additionally, car features, such as make, model, and year, also influence sales. Using these features, we developed a model that accurately predicts car sales and can be used by car dealerships to make informed decisions.