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Machine learning Project : Anomaly detection using Isolation Forest

Anomaly detection is used to detect the suspicious data in the dataset, one of the unsupervised learning algorithms in machine learning follow this video fully to understand the entire concept. For Collab,Sponsors & Projects : [email protected] Keep support me to get 25K subscribers ❤ *Ask your Doubts on Instagram: arun.codes Ask your Doubts on Twitter:   / ak_python   *Discord community:   / discord   Telegram: https://t.me/s/akpython (1.5K subscribers ) Github: https://github.com/akpythonyt Blog: https://akpythonblog.blogspot.com/ If You get impressed with my work Then Buy me a cup of coffee: https://www.buymeacoffee.com/akpython Music by: chill. by sakura Hz   / sakurahertz   Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/chill-sakuraHz Music promoted by Audio Library    • Chill – sakura Hz (No Copyright Music)   Thanks ..! Tags: #Anomalydetection #Isolationforest All the videos, songs, images, and graphics used in the video belong to their respective owners and I or this channel does not claim any right over them. Copyright Disclaimer under section 107 of the Copyright Act of 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, education, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing.”