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.
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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

[@xplore_alappuzha]

This man is really a gem. I got placed in an MNC as a data analyst by learning from his channel..Thank you very much sir🙏💥💕

[@itzmeakash9695]

Bro is there any ml jobs available for fresher i am looking for ml or dl kind of jobs is available there in job market right now??

[@perpetuallearner8257]

Which company and base per annum?

[@ouryly1541]

God bless you @krish naik. I have learnt so much on your channel, I have become a data scientist by learning on your channel and on Ineuron. Thank you again

[@arnabganguly4962]

Beautiful explanation. Very very simplified.

[@sagarpatil1646]

What a timing 😅, Thank You so much Sirji ❤

[@rohitgupta6575]

Thank you Krish for full filling my request.. you are the best...❣️❣️❣️❣️❣️

[@vamsiraavi7040]

loved it and thanks for this beautiful and crystal clear explanation sir

[@mwasimmit]

The best video about outlier detection on the surface of internet, Love from Pakistan

[@jman5447]

thank you so much sir! this course is really helpful with your clear explanation!

[@krishnabhutada3983]

Fantastically explained!!

[@ishtiaqahmad4118]

Really you are very great person.

[@primestarchannel7221]

Thanks for the tutorial, could you please make a video on how to identify anomalous log events, correlate (cyber attacks) with other events from stream of logs coming from various infra and application systems using AI ML?

[@ShivaPrasad-gh5li]

Super explanation krish

[@aghatiseokoro4320]

Hi Krish- thanks for the useful lecture. Please what tool do you use in teaching online - what environment are using to write and draw easily. I am considering online tutorship but need to know a very good system to teach mathematics easily

[@BA-kh9ei]

Bro you are killing it awosomeee

[@parththareja6480]

Do we need all our features to follow the Normal Distribution (Mu, Sigma) before we put those features into our iForest algorithm for training?

[@bijaynayak6473]

this is good one , but for better can we use a deep learning model for image orientation & correction ?

[@pkn8707]

Could anyone tell me what is the app on which he is writing? also is he using the pen tablet or apple ipad?

[@varunbharadwaj2091]

I do not have any ground truth labels in my dataset , can I perform anomaly detection and get the accuracy scores?

[@dennisdennis7069]

Thanks man!

[@gayathrisujagangireddi9443]

Good explanation

[@HarshithaRaghavanDevarajan]

well put!

[@ldsc3663]

hi krish sir, i am asking this, on wrong videos comment section, so please asnwer the quetion, and if possible make video on this topic, it will be very helpful. basicaly my quetion is can i deploy an ml model on wordpress site ? if yes then make one deployment using wordpress. if no then tell us how we can deploy our model on our own server, i dont want to use heroku, i want to learn to depoly model on my own site.. please help on this. their is no usefull video on this topic in youtube.

[@sanmaypaniker2320]

I had a doubt - Ideally, there wouldn't be any train needed in isolation forest is it? It will just predict, but if we have past data and an understanding that those do not contain anomalies, then which algorithm can be used for that? How can I use isolation forest for that?

[@vipuldubey8214]

Nice video sir ❤❤

[@nikhilgeorge2056]

Is there any method to find feature importance for anomaly model? @krish

[@jaysonandre295]

Hello Mr. Naik can you do a whole project on anomaly detection in surveillance video using benchmark datasets and probably using autoencoder .. thaks for your rich content

[@ananya_kathak]

aren't the reachability distance and local reachability density measures involved in LOF?

[@sanketpatil3031]

How to chek this actually outliers?

[@ruipedropires1867]

The healthcare dataset is not available. Can you put it here in the comments, please?

[@himanshigupta4846]

Could you please make a video on Local Outlier Factor algorithm, Or please share if you have any document related to it

[@user-sv5ck7bl9i]

Sir I want to become a machine learning engineer but I don't have proper guidance to reach that role ... could please give me a suggestion sir ... I have a lot of interest and curiosity to learn ml ..pls sir 🙃

[@MrSorinCl]

dear Krish, an outlier is not necessary an anomaly and vice versa!! are we mislead here?

[@Developer367]

Can you create another project using fewshotpromptemplate please?

[@ZibaFact]

It will also helpful if you provide link of that csv file ❤

[@rishiraj2548]

🙏💯

[@shashanksinghal8395]

I feel that contamination argument tells how much proportion should be treated as outliers and not the threshold itself. threshold will be chosen based on the proportion of the outliers that we'll define. Please correct me if I am wrong.

[@nidhibodar7334]

Yes, you are right

[@rusteefootballtv9050]

Protect him by all means

[@annazhu3340]

Thanks Krish! Where can the healthcare dataset be found?

[@kishorep6806]

Kaggle

[@lalosalamanca731]

@@kishorep6806 Bro, i searched but not found on kaggle, can you help me in finding or provide a link or something, it would be a big help.