This project aims to predict the prices of cars based on various features such as brand, model, mileage, engine capacity, and more. The prediction is made using machine learning techniques, specifically a multilinear regression model.
The dataset used for this project is sourced from kaggle . It contains information about various cars including their brand, model, year of manufacture, mileage, engine capacity, fuel type, transmission type, and price.