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:

git clone https://github.com/Malek-trez/CarPricePredictorInTunisia.git
cd CarPricePredictorInTunisia

2. Install the required packages:

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.