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
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Updated
Oct 6, 2023 - Jupyter Notebook