yessine634/Used-car-prediction-TN

Machine learning model to predict used car prices in Tunisia # Used Car Price Prediction - Tunisia Machine learning project to predict used car prices using XGBoost and Random Forest models. ## Dataset Features - **Target**: Prix (Price in TND) - **Numerical**: Car age, Mileage, Engine power, Engine displacement - **Categorical**: Fuel type, Brand, Model, Transmission ## Models - XGBoost Regressor (primary) - Random Forest Regressor ## Performance Metrics - R² Score - Adjusted R² - RMSE (Root Mean Squared Error) - MAE (Mean Absolute Error) ## Setup ```bash pip install pandas numpy scikit-learn xgboost hyperopt matplotlib seaborn ``` ## Usage ```python jupyter notebook cava_ML.ipynb ``` ## Files - `cava_EDA.ipynb` - Exploratory Data Analysis - `cava_ML.ipynb` - Model training and evaluation - `cava_model_data.csv` - Processed dataset