mariasihotang / Car-price

Prediction of car price using machine learning model XGBoost.

Prediction of Car Prices

This dataset is taken from : https://drive.google.com/drive/folders/1kU_3H7kOJmLb29_mmL5Z0Z20-yQ2fidm

Background:

Owning a car is a dream for most people, but not everyone can afford to buy a new one. In that case, used cars are an option. Furthermore, several other factors influence people's decision to buy a used car: price depreciation, which is minor, the availability of papers, and the choice of car, which is more variable.

Problem Statement:

1. For buyers: Determining whether used cars are worth the prices posted on online buying and selling forums is difficult. A car's value can be affected by a number of factors, including distance, mileage, make, model, and transmission system.
2. For sellers: It has become difficult for sellers to determine an appropriate price for a used car.

Business Goals:

Knowing the right price estimate on the market can alleviate the worry of determining the price, so creating a machine learning model that can predict the price range of used Audi cars will, of course, make it easier for consumers and sellers to determine the right price.