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Anomaly Detection is the technique of identifying rare events or observations which can raise suspicions by being statistically different from the rest of the observations. Such “anomalous” behaviour typically translates to some kind of a problem like a credit card fraud, failing machine in a server, a cyber attack, etc.
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▬▬▬▬▬ Contents of this video ▬▬▬▬▬
00:00:00 – What Is Anomaly Detection
00:03:49 – Isolation Forest Anamoly Detection
00:16:35 – Practical Implementation Isolation Forest
00:22:05 – Anamoly Detection Using DBScan Clustering
00:26:40 – DBSCAN Anomaly Practical Implementation
00:29:50 – Local Outlier Factor Anomaly Detection
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