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https://github.com/adilrasheed139/fraud-detection-ml-project
Online Payment Fraud Detection to identify fraudulent and non-fraudulent payments.
https://github.com/adilrasheed139/fraud-detection-ml-project
Last synced: 5 days ago
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Online Payment Fraud Detection to identify fraudulent and non-fraudulent payments.
- Host: GitHub
- URL: https://github.com/adilrasheed139/fraud-detection-ml-project
- Owner: adilrasheed139
- Created: 2024-05-15T15:30:01.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-05-19T10:30:15.000Z (6 months ago)
- Last Synced: 2024-05-20T09:28:23.012Z (6 months ago)
- Language: Jupyter Notebook
- Size: 911 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Author: Adil Rasheed
# 🕵🏻🚨⚠️ Online Payment Fraud Detection
Online Payment Fraud Detection to identify fraudulent and non-fraudulent payments.
## Introduction
Online payment is the most popular transaction method in the world today. However, with an increase in online payments also comes a rise in payment fraud. The objective of this notebook is to train machine learning models for identifying fraudulent and non-fraudulent payments. The dataset is collected from Kaggle, which contains historical information about fraudulent transactions that can be used to detect fraud in online payments.
The dataset consists of 10 variables:
- **step:** represents a unit of time where 1 step equals 1 hour
- **type:** type of online transaction
- **amount:** the amount of the transaction
- **nameOrig:** customer starting the transaction
- **oldbalanceOrg:** balance before the transaction
- **newbalanceOrig:** balance after the transaction
- **nameDest:** recipient of the transaction
- **oldbalanceDest:** initial balance of recipient before the transaction
- **newbalanceDest:** the new balance of the recipient after the transaction
- **isFraud:** fraud transaction
# Deploy and check the results:
- For Fraudulent Transaction:
- For Fraudulent Transaction:
