There are 19 repositories under credit-card-fraud-detection topic.
A curated list of data mining papers about fraud detection.
Fraud Detection model based on anonymized credit card transactions
Credit Card Fraud Detection
Credit Card Fraud Detection Project with Code and Documents
Implementation of an intelligence system to detect the fraud cases on the basis of classification.
Credit card fraud is a significant problem, with billions of dollars lost each year. Machine learning can be used to detect credit card fraud by identifying patterns that are indicative of fraudulent transactions. Credit card fraud refers to the physical loss of a credit card or the loss of sensitive credit card information.
This is an Online Transaction Fraud Detection System (FDS) to detect payment frauds. Made using Django.
Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch
Bank card fraud detection using machine learning. Web application using Streamlit framework
Full Stack Credit Card Fraud Detection Using Machine Learning with Code and Documents Plus Youtube Explanation Video
Credit Card Fraud Detection using Logistic Regression on credit card dataset
Validates popular debit and credit cards numbers against regular expressions and Luhn algorithm. Also validates the CVC and the expiration date.
[TAAI'21] Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection
The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.
Credit Fraud Detection for the course project for the master's degree in Software and Systems Engineering.
Simple credit card verification built with C++
Enhanced Credit Card Fraud Detection using Graph Neural Networks
Credit Card Fraud Detection using Machine Learning, I have undertaken the task of developing a robust system to identify fraudulent credit card transactions.
Anomaly detection analysis project in a credit card fraud detection with real anonymous data info from Kaggle
Credit - CS50 - PYTHON
Credit Card Fraud Detection using Neural Networks (Keras)
The project is to recognize fraudulent credit transactions. You only need to put the dataset and model will detect the fraudulent credit transactions.
Credit Card Fraud Detection using Logistic Regression
Credit Card Checker is a tool designed to verify the validity and authenticity of credit card numbers.
For this project, I used four different classification algorithms to detect fraudulent credit card transactions.
This project aims to detect credit card fraud using Anamoly detection techniques such as Isolation Forest and Local Outlier Factor algorithms.
This code snippet performs fraud detection using machine learning models such as RandomForestClassifier and DecisionTreeClassifier.
🛡️ SecureCard-AI: A high-performance credit card fraud detection system implemented in a Jupyter Notebook, achieving 99.97% accuracy.
A lightweight web server for validating credit card numbers, written in Go.
WooCommerce plugin for using the BulletProof Checkout API
Final Project for CS-577 Principles and Techniques of Data Science at San Diego State University
Logistic Regression, Random Forest & K-means Clustering algorithms are used in this project