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Use of Mahalanobis function in R to classify uniquely observed subsets from the whole.
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Use of sklearn and ensemble for supervised machine learning on counterfeit and anomalous data. Data sets provided.
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Using R (Studio), Python (Spyder), and PCA resources this pack is the effort of detecting anomalous data apart from legitimate instances. The training set contains only a few examples of anomalous …
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Use of kNN sklearn component for anomaly detection and cross-validation between 32 classes.
Python
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