Leveraging extensive real-world data, I developed a sophisticated Credit Card Fraud detection model. This project is meticulously documented, with detailed comments and explanatory text highlighting each method, code snippet, and step taken throughout the process. The model implementation covers various techniques and algorithms to ensure accuracy and reliability in detecting fraudulent activities. Additionally, the code is available in both Python and R, providing flexibility and demonstrating proficiency in multiple programming languages. This comprehensive documentation ensures that the methodology and insights are clear, making it accessible for review and further development.