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
Classification of fraudulent credit card transactions.
Learn to use Support Vector Machines in Python(sklearn) and R
Analysis of credit card fraud data
A credit card mass checker tool that could check a card's validity based on luhn algorithm.
Apply 7 common Machine Learning Algorithms to detect fraud, while dealing with imbalanced dataset
Detecting fraudulent credit card transactions with supervised learning
Implementation of feature engineering from Feature engineering strategies for credit card fraud
{PySpark, R, Python}: Several Data Science projects
My analysis of Kaggle Contest problems
Anomaly Detection Pipeline with Isolation Forest model and Kedro framework
Python Data Analytics, Machine Learning & Natural Language Processing
Credit Card Fraud Detection using machine learning
Udacity capstone project | Credit card fraud prediction | Supervised Learning | Ensemble model | Data Sampling
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.
💳 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
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