Isolation Forest

Anomaly / Outliers: in Data Science data patterns that have different characteristics from normal data are called anomalies. By detecting anomalies, it provides critical and actionable information in various application domains such as eCommerce, retail , banking etc. Isolation forest algorithm: Isolation forest is the newest techniques to detect anomalies. The is based on various... Continue Reading →

One class SVM

What is it? One-Class SVM is used for unsupervised outlier and novelty detection. ┬áNormal data points to build the model so the algorithm can set a correct boundary for the given samples. Nu, Gamma, and Kernel are parameters for the model these impact the result significantly. So we need to experiment with these parameters until... Continue Reading →

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