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Anomaly Detection using Isolation Forest - Time Series

#datascience #timeseries #isolationforest Anomaly detection using Facebook Prophet -    • Anomaly Detection model on Time Series dat...   Isolation forest is an unsupervised learning algorithm for anomaly detection that works on the principle of isolating anomalies Isolation Forest builds an ensemble of “Isolation Trees for the data set, and anomalies are the points that have shorter average path length The Isolation Forest ‘isolates’ observations by randomly selecting a feature and then randomly selecting a split value between the maximum and minimum values of the selected feature.