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
Implementation of an intelligence system to detect the fraud cases on the basis of classification.
Credit Card Fraud Detection Project with Code and Documents
Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch
This is an Online Transaction Fraud Detection System (FDS) to detect payment frauds. Made using Django.
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
Simple credit card verification built with C++
Credit Card Fraud Detection using Neural Networks (Keras)
Credit Fraud Detection for the course project for the master's degree in Software and Systems Engineering.
Anomaly detection analysis project in a credit card fraud detection with real anonymous data info from Kaggle
Credit Card Fraud Detection using Logistic Regression
Credit - CS50 - PYTHON
The project is to recognize fraudulent credit transactions. You only need to put the dataset and model will detect the fraudulent credit transactions.
For this project, I used four different classification algorithms to detect fraudulent credit card transactions.
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.
Credit card fraud detection, gender classification from name etc.
Credit Card Fraud Detection: Combination of both Unsupervised and Supervised Algorithm to detect Fraud in credit cards
Credit Card Checker is a tool designed to verify the validity and authenticity of credit card numbers.
Logistic Regression, Random Forest & K-means Clustering algorithms are used in this project
Machine Learning based Credit Card Fraud Detection
WooCommerce plugin for using the BulletProof Checkout API
Validates popular debit and credit cards numbers against regular expressions and Luhn algorithm. Also validates the CVC and the expiration date.
Credit Card Fraud Detection using Logistic Regression with Hyper Tuning
Credit Card Fraud Detection using Extreme Gradient Boosting
Credit Card Fraud Detection
My implementation of the paper "Feature engineering strategies for credit card fraud detection"
This code snippet performs fraud detection using machine learning models such as RandomForestClassifier and DecisionTreeClassifier.
An application which uses different algorithm for detecting Fraud Transactions.