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modified-zscore

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kkrusere / Credit-Card-Fraud-Anomaly-Outlier-Detection

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The project explores a range of methods, including both statistical analysis, traditional machine learning and deep learning approaches to anomaly detection a critical aspect of data science and machine learning, with a specific application to the detection of credit card fraud detection and prevention.

tensorflow logistic-regression autoencoders decision-tree-classifier dbscan-clustering knn-classification variational-autoencoders local-outlier-factor isolation-forest-algorithm random-forest-classifier one-class-svm z-test modified-zscore
  • Updated Oct 6, 2023
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