https://github.com/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.
https://github.com/jigyasag18/credit-card-fraud-detection-using-machine-learning
credit-card-fraud creditcardfrauddetection data dataset logistic-regression logisticregression machine-learning machine-learning-algorithms mlproject mlprojects
Last synced: 29 days ago
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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.
- Host: GitHub
- URL: https://github.com/jigyasag18/credit-card-fraud-detection-using-machine-learning
- Owner: jigyasaG18
- Created: 2025-03-28T15:38:56.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2025-03-28T15:50:33.000Z (about 1 month ago)
- Last Synced: 2025-03-28T16:36:30.018Z (about 1 month ago)
- Topics: credit-card-fraud, creditcardfrauddetection, data, dataset, logistic-regression, logisticregression, machine-learning, machine-learning-algorithms, mlproject, mlprojects
- Language: Jupyter Notebook
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0