diff --git a/.nojekyll b/.nojekyll new file mode 100644 index 0000000..e69de29 diff --git a/404.html b/404.html new file mode 100644 index 0000000..08366ca --- /dev/null +++ b/404.html @@ -0,0 +1,653 @@ + + + +
+ + + + + + + + + + + + + + +The Online Payments Fraud Detection application predicts fraudulent transactions in online payment systems using advanced machine learning techniques. With the growing risk of online payment fraud, this model helps financial institutions and e-commerce platforms identify suspicious transactions in real-time.
+Provides immediate feedback to help prevent fraudulent activities.
+Interactive Interface
+Designed for accessibility and user-friendliness, ensuring a seamless experience.
+Comprehensive Feature Engineering
+The application leverages the XGBoost machine learning model to detect fraudulent transactions based on transaction attributes. Here’s how it operates:
+This approach ensures accurate predictions while maintaining computational efficiency.
+