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.
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[@Mujhedhundonahibasspehchano]

Achese samjhane keliye thanks🙏💓

[@alwaaffa]

You can help me with a master’s thesis for my software part (coding) in Python?

[@harshittechnology6955]

Its working 🤗

[@ron4u_1998]

worth it AK ❤

[@AKPython]

Happy to see these comments 😃

[@shaunakpaikane4195]

🔥

[@sivaramapandian3923]

asusual🔥

[@the_python_man]

Hey how can I get in touch with you I have some questions

[@chandrakantthakur2054]

Excellent explanation 👍

[@AKPython]

Thank you bro support

[@tonyliu7542]

Nice Explanation to Isolation Forest

[@AKPython]

Thanks

[@ravirajshinde465]

max feature explantion is not correct it is like while building decision trees we have several features to select and decide which is the best feature and it takes time ,so not to consider all the features for building dt we put value as 0.5 so it will scan only 50 % features from the whole set of features

[@AKPython]

Thanks for explanation

[@pranjalaher4713]

Can i do this project as final year project?

[@AKPython]

Yeah, but apply on complex datasets making it deploy as web point using any cloud service

[@pranjalaher4713]

@@AKPython thank u

[@surajratti9755]

Hi bro im doing masters in AI in the UK , currently im struggling with my dissertation. my topic is online device metrics classifier which my professor gave anomaly detection project as a reference . could you please provide me your contact details please. i would needed your help

[@AKPython]

Hi Suraj you can contact me on Twitter or Instagram

[@surajratti9755]

@@AKPython instagram would be great bro could you let me know your id

[@AKPython]

arun.codes