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Anomaly detection is the identification of rare events, items, or observations which are suspicious because they differ significantly from standard behaviors or patterns. Anomalies in data are also called standard deviations, outliers, noise, novelties, and exceptions. Timestamp 00:00:00 What Is Anomaly Detection? 00:03:14 Isolation Forest for Anomaly Detection 00:16:59 DBSCAN For Anomaly Detection 00:24:38 Local Outlier Factor Anomaly Detection ------------------------------------------------------------------------------------------------------------- All Playlist links are given below NLP Playlist: https://www.youtube.com/playlist?list=PLTDARY42LDV67aWThoZxflLYGnD3Rh3VG ML playlist in hindi: https://bit.ly/3NaEjJX Stats Playlist In Hindi:https://bit.ly/3tw6k7d Python Playlist In Hindi:https://bit.ly/3azScTI --------------------------------------------------------------------------------------------------------------- Please donate if you want to support the channel through GPay UPID, Gpay: krishnaik06@okicici Telegram link: https://t.me/joinchat/N77M7xRvYUd403DgfE4TWw ------------------------------------------------------------------------------------------------------------- Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig/join ----------------------------------------------------------------------------------------------------------- Please do subscribe my other channel too https://www.youtube.com/channel/UCjWY5hREA6FFYrthD0rZNIw --------------------------------------------------------------------------------------------------------- Connect with me here: Twitter: https://twitter.com/Krishnaik06 Facebook: https://www.facebook.com/krishnaik06 instagram: https://www.instagram.com/krishnaik06
