A curated list of data mining papers about fraud detection.

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Analysis of credit card fraud data

Classification of fraudulent credit card transactions.

Implementation of feature engineering from Feature engineering strategies for credit card fraud

{PySpark, R, Python}: Several Data Science projects

Using simple logistic regression to predict credit card fraud transactions

A credit card mass checker tool that could check a card's validity based on luhn algorithm.

Learn to use Support Vector Machines in Python(sklearn) and R

This is a classification problem to detect or classify the fraud with label 0 or 1. Class with label 1 means fraud is detected otherwise 0. The biggest challenge is to handle the imbalanced data set.

An attempt to detect fraud in online transaction in deep neural network using pytorch

Apply 7 common Machine Learning Algorithms to detect fraud, while dealing with imbalanced dataset

Ensemble Learning Techniques Tutorial with Credit Card Fraud

Python Data Analytics, Machine Learning & Natural Language Processing

Credit Card Fraud Detection using machine learning

Detecting fraudulent credit card transactions with supervised learning

ML, Data Science and Deep Learning Projects

This project commissions to examine the 100,000 credit card application data, detect abnormality and potential fraud in the dataset. All data manipulation and analysis are conducted in R. Featured analysis methods include Principal Component Analysis (PCA), Heuristic Algorithm and Autoencoder.

🎯 Creates a new gym environment for credit-card anomaly detection via OpenAI.

Anomaly detection using isolation forest

Using DNN/LSTM/1D-CNN to analyze a credit default problem

Credit Card Fraud Detection

Credit Card Fraud detection system using Kaggle dataset using Azure Automated Machine Learning

Deteccion de fraudes de tarjetas de credito usando Machile Learning implementando distintos algoritmos y haciendo comparaciones de rendimiento con respecto a la clasificacion de transacciones.

using HMM to detect credit card fraudulent transaction

My analysis of Kaggle Contest problems

This repository demonstrates the usage of a Support Vector Machine and a Multi-Layer Perceptron Model to detect credit card fraud using MATLAB and Python for pre-processing.

Big data are large and complex data sets that traditional data processing applications are inadequate. Three V’s 1.Volume 2. Velocity 3. Variety. Different Statistical methods can be applied on Big data for processing. Here I'll describe those methods.