https://github.com/csoren66/credit-card-fraud-detection

Credit card fraud detection through logistic regression.
https://github.com/csoren66/credit-card-fraud-detection

logistic-regression machine-learning numpy pandas python sklearn

Last synced: 3 days ago
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Credit card fraud detection through logistic regression.

• Host: GitHub
• URL: https://github.com/csoren66/credit-card-fraud-detection
• Owner: csoren66
• License: gpl-3.0
• Created: 2022-03-13T08:28:12.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-06-03T13:54:43.000Z (over 2 years ago)
• Last Synced: 2023-03-07T00:05:22.789Z (over 1 year ago)
• Topics: logistic-regression, machine-learning, numpy, pandas, python, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 149 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Credit-Card-Fraud-Detection

![1_Thwuh07TMsC-iavs5Et69w](https://user-images.githubusercontent.com/67580321/171866910-25ffb046-3220-4d87-b3e8-fbe5e40d8c62.png)

The aim of this machine learning project is to build a classifier that can detect credit card fraudulent transactions. 

We will use a variety of machine learning algorithms that will be able to discern fraudulent from non-fraudulent one. By the end of this machine learning project, you will learn how to implement machine learning algorithms to perform classification.

## Getting started

1.Get the code from the repository

```

(https://github.com/csoren66/Credit-Card-Fraud-Detection.git)

```

2.Download the dataset that will be used to train a transaction classifier. Unzip it and put the content (creditcard.csv) under main folder (Credit-Card-Fraud-Detection)

3.Install required python packages if previously not installed

4.Finally run on Jupyter Notebook or Google Colab and enjoy 😉