Fraud Detection 🔍💳

This repository contains a Fraud Detection project that utilizes Deep Learning and Self-Organizing Maps (SOM) Neural Networks to identify fraudulent activities in financial transactions. The project focuses on data preprocessing, visualization, and model training using advanced machine learning techniques.

📦 Dataset

The dataset used in this project is available on my Kaggle page:
👉 Credit Cards Applications.

📌 Features

• Deep Learning Approach: Implements SOM, an unsupervised neural network for anomaly detection.
• Data Processing: Uses Pandas and NumPy for handling transaction data.
• Visualization: Leverages Matplotlib, Seaborn, and Plotly for data insights.
• Feature Scaling & Clustering: Prepares data for effective fraud detection.