Awesome Open Source

Programming Languages

Search results for finance fraud detection

fraud-detection x

3 search results found

The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is critical to advance detection capabilities of money laundering activities.

Fraud Detection In Online Transactions ⭐ 23

Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting

Fraud Detection ⭐ 23

Fraud detection with the Paysim financial dataset, Neo4j Graph Data Science, and Neo4j Bloom

Anomaly Detection Pipeline Kedro ⭐ 8

Anomaly Detection Pipeline with Isolation Forest model and Kedro framework

Related Searches

Python Finance (1,173)

Javascript Finance (1,010)

Jupyter Notebook Finance (384)

1-3 of 3 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.