A curated list of data mining papers about fraud detection.
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Updated
Mar 16, 2024 - Python
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
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
Analysis of credit card fraud data
Implementation of feature engineering from Feature engineering strategies for credit card fraud
Credit Card Fraud Detection Project with Code and Documents
Anomaly Detection Pipeline with Isolation Forest model and Kedro framework
Classification of fraudulent credit card transactions.
A credit card mass checker tool that could check a card's validity based on luhn algorithm.
{PySpark, R, Python}: Several Data Science projects
Python app for detecting credit card frauds using a graph database
Monotonic Optimal Binning algorithm is a statistical approach to transform continuous variables into optimal and monotonic categorical variables.
💳 Creates a new gym environment for credit-card anomaly detection using Deep Q-Networks (DQN) and leverages Open AI's Gym toolkit to allocate appropriate awards to the RL agent.
Anomaly detection using isolation forest
Credit Card Generator
Learn to use Support Vector Machines in Python(sklearn) and R
An attempt to detect fraud in online transaction in deep neural network using pytorch
System to tell apart the transaction was from the real user who owns the credit card or the transaction was from the stolen credit card.
Ensemble Learning Techniques Tutorial with Credit Card Fraud
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