Python Fraud Resources

PyGOD is a Python library for graph outlier detection (anomaly detection). This exciting yet challenging field has many key applications, e.g., detect

Credit Card Fraud Detection, used the credit card fraud dataset from Kaggle

Using Logistic Regression and classifiers of the dataset to produce an accurate recall, f-1 and precision score

Insurance-Fraud-Claims Detailed analysis on fraud claims in insurance companies, gives you information as to why huge loss take place in insurance com

Credit Card Fraud Detection Introduction Online transactions have become a crucial part of any business over the years. Many of those transactions use

Python Outlier Detection (PyOD) Deployment & Documentation & Stats & License PyOD is a comprehensive and scalable Python toolkit for detecting outlyin

Anomaly Detection Learning Resources Outlier Detection (also known as Anomaly Detection) is an exciting yet challenging field, which aims to identify

Credit-Fraud-Detection - Credit fraud detection in Python using a Jupyter Notebook , using three classification models (Random Forest, Gaussian Naive Bayes, Logistic Regression) from the sklearn library, and judging the performance based on accuracy, precision, recall and f1 score

Credit Card Fraud Detection For this project, I used the datasets from the kaggle competition called IEEE-CIS Fraud Detection. The competition aims to

AF-ShellHunter AF-ShellHunter: Auto shell lookup AF-ShellHunter its a script designed to automate the search of WebShell's in AF Team How to pip3 ins

Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.

Fraud-Multiplication-Table-Detection-in-python In this program, I have detected fraud multiplication table using python without class. Here, I have co

Macula Experimental python optimistic rollup fraud-proof generation tech by @protolambda. Working on a python version for brevity and simplicity. See

MemStream Implementation of MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift . Siddharth Bhatia, Arjit Jain, Shivi

An Unsupervised Graph-based Toolbox for Fraud Detection Introduction: UGFraud is an unsupervised graph-based fraud detection toolbox that integrates s

Python Streaming Anomaly Detection (PySAD) PySAD is an open-source python framework for anomaly detection on streaming multivariate data. Documentatio

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Python Outlier Detection (PyOD) Deployment & Documentation & Stats Build Status & Coverage & Maintainability & License PyOD is a comprehensive and sca