Kaggle Fraud Detection challenge hosted by IEEE

FakeChecker is a part of my Engineering thesis project on Warsaw University of Technology. Its aim is to detect fake reviews on Google Maps.

sklearn, xgboost, decision tree, random forest, logistic regression

Template implementation of a SOM for banking Fraud Detection

Online Transaction Fraud Detection

The project consists of implementing an autoencoder-based fraud detector

This system utilizes Optical Character Recognition (OCR) extracts text, while computer vision techniques map document layout. Then, SIFT (Scale-Invariant Feature Transform) cleverly matches documents to pre-defined templates, even with variations. This intelligent matching helps identify potential fraud for further investigation.

Fraud detection via residual neural network. (+ DVC)

A fraud detection Project using distances from location centroid

A sample program on how to go about Identifying a ghost worker in an organisation

Data-Driven ML Credit Card Fraud Detection

Credit Card Transactions Fraud Detection using Deep Learning.

Identification of Enron Employees who may have committed fraud based on the public Enron financial and email.

outlier detection & k-means clustering

This repo contains the result of my computer science course: An automated tool to classify credit card transactions. Could be used with any dataset

🕸 Stochastic programming project to detect fraudulent Amazon / TripAdvisor reviews

This list will help you generate look alike domain names. All that is left is to pass the domain name through your validator. Then only show the customer the ones that are up.