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Credit card fraud detection application using Machine Learning and Streamlit

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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

Output

For fraudulent transactions:

credit1

For legitimate transactions:

legit

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Credit card fraud detection application using Machine Learning and Streamlit

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