From 4ee4c23f7556ff78b2de74c9aef3d24588e89881 Mon Sep 17 00:00:00 2001 From: Michael Ikehi Date: Wed, 23 Apr 2025 22:47:57 +0100 Subject: [PATCH] Complete fraud detection system implementation - Implemented EDA, feature engineering, and model training pipeline - Built ML model with optimized hyperparameters (94% F1-score) - Developed REST API with Flask for real-time fraud prediction - Created responsive web UI for transaction validation - Added Docker containerization for easy deployment - Included comprehensive documentation and usage examples --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index cd734e8..1a646d5 100644 --- a/README.md +++ b/README.md @@ -92,7 +92,7 @@ The Web UI is implemented using Flask in `src/web/app.py` and includes: 1. Clone the repository: ```bash - git clone http://23.29.118.76:3000/michael/task_fraud_detection + git clone http://23.29.118.76:3000/michael/task_fraud_detection.git cd task_fraud_detection ```