The Credit Card Fraud Detection model is designed to identify fraudulent transactions in credit card data. Using sophisticated machine learning techniques, this model leverages various features and patterns within the transactional data to distinguish between genuine and fraudulent activities. It applies logistic regression algorithms. The model aims to provide a robust and accurate system for financial institutions to prevent fraudulent transactions, safeguarding users' financial security and minimizing potential risks associated with unauthorized activities.