GitHub / jigyasaG18 / Credit-Card-Fraud-Detection-using-Machine-Learning

This repository presents a credit card fraud detection system utilizing a Logistic Regression model trained on a dataset of 284,807 transactions with significant class imbalance. After employing under-sampling for balance, the model achieves a test accuracy of around 93.40%, showcasing the effectiveness of ML in identifying fraudulent transactions.

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Topics: credit-card-fraud, creditcardfrauddetection, data, dataset, logistic-regression, logisticregression, machine-learning, machine-learning-algorithms, mlproject, mlprojects

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