Malek-trez/CarPricePredictorInTunisia

This project was developed as part of our Machine Learning coursework at INSAT in the RT4 program. The goal is to train a machine learning model to accurately predict car prices in the Tunisian market based on various attributes. # Car Price Predictor in Tunisia A machine learning project that predicts car prices in Tunisia based on various features and market data. ## Project Structure ``` ├── Data/ # Contains datasets and raw data ├── Src/ │ ├── Scraping/ # Web scraping scripts │ ├── Modeling/ # ML models and training code │ └── DataManip/ # Data preprocessing and manipulation ├── requirements.txt └── LICENSE ``` ## Features - Web scraping of car listings from Tunisian car market websites - Data preprocessing - Machine learning model for price prediction ## Requirements - Python 3.x - beautifulsoup4==4.12.3 - Requests==2.32.3 - seaborn==0.13.2 - matplotlib==3.9.2 - scikit-learn==1.5.1 ## Installation 1. Clone the repository: ```bash git clone github.com cd CarPricePredictorInTunisia ``` 2. Install the required packages: ```bash pip install -r requirements.txt ``` ## Usage 1. Data Collection: - Run the scraping scripts in the `Src/Scraping` directory to collect car data - The collected data will be stored in the `Data` directory 2. Data Processing: - Use the scripts in `Src/DataManip` to preprocess and prepare the data - Generate feature engineering and data cleaning 3. Model Training: - Navigate to `Src/Modeling` to train the price prediction model - The trained model will be saved for future predictions 4. Making Predictions: - Use the trained model to predict car prices based on input features ## License This project is licensed under the MIT License. See the LICENSE file for details.