This notebook applies Linear Regression and XGBoost Regressor on a car dataset to predict vehicle prices based on features such as engine size, horsepower, and more.
📈 Techniques:
- Data cleaning
- Feature engineering
- Model training & evaluation
📊 Models used:
- Linear Regression
- XGBoost Regressor