https://github.com/trilokida/credit-card-fraud-detection

Synthetic Financial Datasets For Fraud Detection
https://github.com/trilokida/credit-card-fraud-detection

classification credit-card credit-card-fraud downsampling ensemble-machine-learning fraud-detection imbalanced-data imblearn random-forest synthetic-data upsampling xgb xgboost

Last synced: 4 days ago
JSON representation

Synthetic Financial Datasets For Fraud Detection

• Host: GitHub
• URL: https://github.com/trilokida/credit-card-fraud-detection
• Owner: TrilokiDA
• Created: 2020-09-08T18:29:09.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2020-09-08T18:31:52.000Z (about 4 years ago)
• Last Synced: 2023-08-16T20:51:26.277Z (over 1 year ago)
• Topics: classification, credit-card, credit-card-fraud, downsampling, ensemble-machine-learning, fraud-detection, imbalanced-data, imblearn, random-forest, synthetic-data, upsampling, xgb, xgboost
• Language: Jupyter Notebook
• Homepage:
• Size: 79.1 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Fraud-Detection

Synthetic Financial Datasets For Fraud Detection

[Dataset Link](https://www.kaggle.com/ntnu-testimon/paysim1)