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.
Detecting fraudulent credit card transactions with supervised learning
Apply 7 common Machine Learning Algorithms to detect fraud, while dealing with imbalanced dataset
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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