https://github.com/abideen-olawuwo/fraud-detection

A Fraud Prediction Model
https://github.com/abideen-olawuwo/fraud-detection

kears logistic-regression matplotlib numpy pandas pickle scipy seaborn sklearn tensorflow

Last synced: about 1 month ago
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A Fraud Prediction Model

• Host: GitHub
• URL: https://github.com/abideen-olawuwo/fraud-detection
• Owner: abideen-olawuwo
• Created: 2023-02-14T04:18:57.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-05-29T11:53:50.000Z (over 1 year ago)
• Last Synced: 2024-11-15T00:33:12.597Z (3 months ago)
• Topics: kears, logistic-regression, matplotlib, numpy, pandas, pickle, scipy, seaborn, sklearn, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 81.1 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
* Problem definition

A fraudulent or genuine transaction prediction on credit card

*  Data

The dataset was downloaded from Kaggle  (https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud )

* Features 

The Feature include; Time, V1 -V28, and Amount

* Modelling

The Model used for prediction are Logistic Regression, Tensorflow, Keras