https://github.com/dhruwsunita/credit_card_fraud_detection

Credit card fraud detection application using Machine Learning and Streamlit
https://github.com/dhruwsunita/credit_card_fraud_detection

credit-card-dataset credit-card-fraud-detection data-science machine-learning python streamlit

Last synced: 5 months ago
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Credit card fraud detection application using Machine Learning and Streamlit

• Host: GitHub
• URL: https://github.com/dhruwsunita/credit_card_fraud_detection
• Owner: dhruwsunita
• Created: 2024-03-01T16:39:32.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-03-21T18:35:55.000Z (over 1 year ago)
• Last Synced: 2024-03-21T19:47:47.402Z (over 1 year ago)
• Topics: credit-card-dataset, credit-card-fraud-detection, data-science, machine-learning, python, streamlit
• Language: Jupyter Notebook
• Homepage:
• Size: 204 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Credit Card Fraud Detection

This project is a machine learning-based solution for detecting credit card fraud. It utilizes Logistic Regression, a powerful algorithm for binary classification, to identify potentially fraudulent transactions.The implementation is done in Python, and the project includes a user-friendly interface powered by Streamlit for easy interaction.

# Dataset Link :

[creditcard.csv](https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud)

# Output

For fraudulent transactions:

![credit1](https://github.com/dhruwsunita/Credit_Card_Fraud_Detection/assets/116973136/92535680-bc8a-46e9-80d3-d908d23df6df)

For legitimate transactions:

![legit](https://github.com/dhruwsunita/Credit_Card_Fraud_Detection/assets/116973136/4859256e-f7ba-4752-9cde-176a16198f86)