This project aims to predict the price of used cars based on features such as 'year', 'transmission', 'mileage', 'fuelType', 'tax', 'mpg', and 'engineSize' using the K-Nearest Neighbors (KNN) Regression algorithm.
python3 -m venv venv
- Linux/MacOS:
source active
- Windows (cmd):
venv\Scripts\activate.bat
- Windows (powershell):
venv\Scripts\Activate.ps1
sh install