Hindi-K Nearest Neighbour Indepth Intuition- Classification And Regression

Download the materials: github.com/krishnaik06/Machin...
ML Playlist: www.youtube.com/watch?v=7zpEu...
In statistics, naive Bayes classifiers are a family of simple "probabilistic classifiers" based on applying Bayes' theorem with strong independence assumptions between the features. They are among the simplest Bayesian network models, but coupled with kernel density estimation, they can achieve higher accuracy levels.
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[@krishnaikhindi]

Hello Guys,
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[@ssensation]

Sir I love to take your course but I am working professional it very hard to follow
Sir your Hindi playlist is one of the best

[@SthitadhiDas]

liked your presentation👌👌👌👌

[@MuzammilRazaBCSFBM]

Thumbnail be like: nikal ❤️day . 😁

[@riteshbisht94]

It's😂
❤ + ⛅

[@rupeshingle217]

Best explanation in simple way on UA-cam... Great work Krish sir, your Hindi & English both channels are awesome. 👏🙌

[@malikkashifsaeed5381]

Best explanation with clear and concise way

[@mdmusaddique_cse7458]

It was super simplified. Understood well

[@tashiaisha3866]

thank you so much! Very helpful

[@krishnabhutada3983]

Please start Deep learning 7 days live session at the earliest.

[@arkarts505]

Thankyou So Much Sir!!!

[@arhamqamar7462]

Thanks a lot ❤

[@komalanhad7966]

Thank You so much!

[@niluthonte45]

Thank you sir clearly understood
🙂

[@krishj8011]

Great tutorial...

[@mjunaidmjunaid566]

Thank you sir ❤😘❤

[@soumyabrata111]

Lovely

[@bilalhassankhan221]

Please upload same playlist as you uploaded on your second channel. And also, tell us how to follow your playlist.

[@Pr3kashSingh]

Thank you very much sir.

[@user-qe8vh8so4c]

great explanation

[@Coden69]

Thanks

[@mmbytes1911]

Nice way of explaining as well presentation. Can you share what are the gadgets you are using for writing, please 🙏

[@akashsoni5870]

Please start deep learning and computer vision 7 days lecture

[@saajanrajak3054]

Thanks for showing the visualization for KNN method.
Have a request, can you share similar examples when input variables 3 or more.
Thanks again
@krishnaikhindi

[@SurajKumar-dq8ew]

I have a question.
In classifier, if the value of both the category is same then what will we select. For example if number of 1s are 4 and number of 0s are also 4 then which value will be predicted

[@pkumar1764]

👌

[@user-hl7wi7ew7r]

can i find English version of this ?

[@ajiteshsarangi9006]

Please update the material link as this link is showing 404 error

[@jyothi26rab]

sier regarding Knn If there are more than 2 classification like 0 1 2 3 4 does THE SAME PRINCIPAL APPLY

[@jdjdejei-ok1qt]

sir u didn't uploaded practical implementation of knn.

[@AnmolSharma-ij1ut]

but sir how to find the value of k in our problem as the value of k changes the output result will change.

[@shibu4513]

Sir
Where is implementation part? -,-

[@Pankaj_Khanal_Joshi]

Can test data come as outlier

[@jyothi26rab]

Sir I have joined ur programe I did not like the teaching method in the live class. I have stopped joining the class i watch all ur vedios on u tube and thats how i learn I cant wait to join ur live class

[@avishekbasyal2582]

Where the practical implementation of Naive Bayes algorithm?

[@user-tr7db8ri5x]

Noice

[@poojaverma3247]

🎉🎉🎉🎉🎉🎉🎉

[@ankitpathak4863]

Sir, what happens when 1's and 0's have the same number of data points under KNN i.e. 3 for 1's and 3 for 0's, Then what would be the output?

[@h44r96]

This understanding comes with practical knowledge or domain knowledge. Odd no. of K value is taken into account in that case. K = 3, K = 5

[@lakshsinghania]

same doubt

[@lakshsinghania]

@@h44r96 i did not get this
u can pls elaborate on ur answer

[@sauravsahay8803]

Can someone share me the python implementation of this video

[@LouisDuran]

I couldn't understand...

[@zobiakhatoon4959]

Hello Dear Sir, How can I get your contact details?