The vehicle-price-classification project is a machine learning system that classifies vehicle prices with 74.2% accuracy. It works with over 426,000 Craigslist vehicle listings and uses an XGBoost model, which has a 0.913 area under the curve (AUC) score. This application helps you analyze vehicle prices effectively and gain insights from data.
To use this application, you need:
- A computer running Windows, macOS, or a Linux distribution
- At least 4 GB of RAM
- An internet connection for downloading the software and datasets
You can download the software from our Releases page.
Visit this page to download: Vehicle Price Classification Releases
- Click the download link above to access the Releases page.
- Choose the latest version of the software from the list available.
- Click the download button for the file specific to your operating system (e.g., .exe for Windows, .dmg for macOS).
- Locate the downloaded file on your computer.
- Double-click the file to run the installer. Follow the on-screen instructions to complete the installation.
- Classify vehicle prices using a powerful machine learning model.
- Analyze and visualize data from Craigslist.
- User-friendly interface for easy navigation.
- Built with popular libraries, including XGBoost, Pandas, Matplotlib, and Seaborn.
- Explore various features like vehicle make, model, year, and listing price.
- After installation, open the application by clicking its icon.
- Load data by selecting the option to import from the Craigslist dataset.
- Follow the in-app prompts to classify vehicle prices based on the data provided.
- Review the results generated by the application.
This application performs exploratory data analysis (EDA) on vehicle listings. It helps you understand factors affecting vehicle pricing. Key points of analysis include:
- Make and model of the vehicle
- Year of production
- Mileage
- Location of the listing
- Price trends over time
You can visualize these factors through interactive charts and graphs.
If you encounter issues during installation or while using the application, consider the following steps:
- Ensure you meet the system requirements listed above.
- Make sure you have a stable internet connection while downloading the software.
- Restart your computer and retry the installation if the installer fails to run.
- Check for updates on the GitHub Releases page if you experience bugs or errors.
Join our community to get help and share your experiences. You can connect with other users through:
- Issues page on GitHub: Report bugs or request features.
- Discussions page: Engage with community members and share insights.
- Documentation: Check our official documentation for detailed guidance on using the application and data analysis techniques.
- Tutorials: Watch tutorial videos on how to use the application effectively and get the most out of your analysis.
Make a valuable tool for your automotive analysis tasks easily accessible.
Visit this page to download: Vehicle Price Classification Releases
Take the first step towards understanding vehicle prices better with vehicle-price-classification!