Belarus Car Price Prediction
Project Overview
The Belarus Car Price Prediction project aims to predict the price of cars in Belarus by analyzing car features such as brand, year, engine, fuel type, transmission, mileage, drive unit, color, and segment. With a dataset comprising 56,244 rows and 12 columns, this project seeks to determine the variables that have the most significant impact on car prices within the Belarusian market.
Data Dictionary
| Variable | Description |
|---|---|
| make | machine firm |
| model | machine model |
| price USD | price in USD (target variable) |
| year | year of production |
| condition | represents the condition at the sale moment (with mileage, for parts, etc) |
| mileage | mileage in kilometers |
| fuel type | type of the fuel (electro, petrol, diesel) |
| volume(cm3) | volume of the engine in cubic centimeters |
| color | color of the car |
| transmission | type of transmission |
| drive unit | drive unit |
| segment | segment of the car |
Impact
During exploratory data analysis, significant insights were discovered:
- There was a significant increase in car prices in Belarus after the year 2000.
- Cars running on petrol with automatic transmission have higher prices compared to diesel cars with manual transmission.
- Electric cars are distinctively more expensive than other cars.
- Cars with all-wheel drive have the highest prices among all drive units.
- Specialty segment cars have the highest prices among all segments, followed by luxury European, American, and Asian car segments.
The project utilized a decision tree regressor model to predict car prices, achieving an accuracy rate of 85.29%. The most influential features for predicting car prices were found to be the year of production and the engine's volume in cubic centimeters.
This project offers valuable insights for both car buyers and sellers in Belarus, aiding them in making informed decisions in the dynamic automotive market.
View Notebook Download Dataset