GitHub topics: fraud-detection-model
mwasifanwar/cryptograph
Graph neural network system that detects money laundering, fraud patterns, and security threats in blockchain transactions and smart contracts.
Language: Python - Size: 26.4 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
sergio11/online_payment_fraud
🚨 Fraud Detection with Deep Neural Networks (PoC) 🤖 A hands-on personal project to predict fraudulent financial transactions using deep learning. Covers the full pipeline: from exploratory data analysis (EDA) and preprocessing to model training and evaluation. An experimental approach to tackling real-world financial fraud. 📊🔍
Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 6 - Forks: 2
thetechleila/Financial-Fraud-Detection-Model
Basic machine learning pipeline models designed to classify bank transactions as "IsFraud" or "NotFraud" while minimizing false positives.
Language: Jupyter Notebook - Size: 1.42 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
BaseMax/fraud-detection-som
This project demonstrates the use of a Self-Organizing Map (SOM) for fraud detection in a dataset. The dataset contains transaction records, and the goal is to identify potential fraudulent transactions using unsupervised learning techniques.
Language: Python - Size: 8.79 KB - Last synced at: 24 days ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
nikhil-singh1/Credit_Card_Fraud_Detection
This project aims to develop a machine learning model for detecting fraudulent credit card transactions. By leveraging various data analysis techniques and machine learning algorithms, we can effectively identify and classify transactions as legitimate or fraudulent.
Language: Jupyter Notebook - Size: 2.25 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
