/Fraud-Detection-Credit-Card-Account-Origination

This project commissions to examine the 100,000 credit card application data, detect abnormality and potential fraud in the dataset. All data manipulation and analysis are conducted in R. Featured analysis methods include Principal Component Analysis (PCA), Heuristic Algorithm and Autoencoder.

Primary LanguageRMIT LicenseMIT

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