Krish Naik's video: Complete Anomaly Detection Tutorials Machine Learning And Its Types With Implementation Krish Naik

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. Support me by joining membership so that I can upload these kind of videos https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig/join ------------------------------------------------------------------------------------------------------- Join the PWSKILLS Data Science Masters Course Best Affordable Data Science Course From Pwskills(6-7 Months) Impact Batch 2.0:- Data-Science-Masters (Full Stack Data Science) 1. Data Science Masters Hindi: http://bit.ly/3TPdrDz (Hindi) 2. Data Science Masters English: https://bit.ly/40gZ9hn (English) Direct call to our team in case of any queries +9186600 34247 +919880055539 +918147625763 +918660034247 +918951939425 ▬▬▬▬▬ 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