The car sales app has collected historical data of prices and descriptions of cars. The new service should predict the price of the car based on the available data..
Development of a model for predicting the cost of a car based on numerical methods.
- Task: car price.
- Having studied and processed historical data on the prices of cars of different brands and years of manufacture, create a model for predicting the cost of a servia customer's car.
- The exact price of the car will help the customer to sell it more profitably. The presence of the service in the application will attract new customers.
- Pandas - version 1.3.5
- CatBoost - version 1.0.6
- Sklearn - version 1.0.2
- Matplotlib - version 3.2.2
- Lightgbm - version 2.2.3
Project is: complete