This notebook uses prettified Kaggle used cars dataset. Dataset contains car ads from eBay-Kleinanzeigen.
The task is to predict car price with minimum error and minimum model working time. Task metric is RMSE.
| Feature | Description |
|---|---|
DateCrawled |
Date of downloading questionnaires from the database |
VehicleType |
Type of vehicle body |
RegistrationYear |
Year of vehicle registration |
Gearbox |
Gearbox type |
Power |
Power (hp) |
Model |
Car model |
Kilometer |
Mileage (km) |
RegistrationMonth |
Month of car registration |
FuelType |
Type of fuel |
Brand |
Brand of car |
Repair |
Has the car been repaired or not |
DateCreated |
Date of creation of the questionnaire |
NumberOfPictures |
The number of photos of the car |
PostalCode |
Postal code of the profile owner (user) |
LastSeen |
Date of latest user activity |
Price (target feature) |
Price (EUR) |