#48 K- Nearest Neighbour Algorithm ( KNN ) - With Example |ML|

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Tomorrow is my exam.. And these videos are a life saver for such difficult subjects. Kudos to the creator 🙌🏼🙌🏼

arpitchaurasia
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im a programmer and im having machine learning exam tomorrow. The way you explain is so simple that i dont feel like im studying machine learning algorithms at all. your explanation is so good that my brain is able to generate pseudo codes along with your explanation.
Thanks a lot for this video.

firebolt
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Written very well in ML Exam
Thanks for the great playlist 🥰

harshak
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Man! She's so clear, concise and quick. Thanks!

mohitzen
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Tomorrow my semister exam
I really thankful for doing these classes for us 😊🙏🏼
And these classes very very helpfull for us 👍

muralimattipally
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Blown away by the explanation!😲💥 mam you're the best cleared my doubt and clarified the concept in just few minutes thank you so much mam!!

ashishsoni
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i have my college internal exam and i am watching today!literally after watching this topics from the playlist, i am trouble free!!thank you so much!!!

vedant_dhamecha
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Never seen such a simplest way of Explaining❣

mosaberyal
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Because of placements I skip the classes, but not your classes because tomorrow I have sem exam on ML, your content is helps me a lot, just thanks is not enough I think.

suryateja
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Mee handwriting bagundhi easiga ardhamoudhundhi

saibalaji
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Sister you are going to grow like if u continue to do this job, don't stop at any situation and thank you , you are doing ur job and enlightening us too

manumedleri
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Thank youu!!loads of respect and love 💘

vidhyagowda
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Thankyou so much mam
Please try to complain 4 or 5 ch too mam
We have exam day after tomorrow

kondangantishruthiigoud
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Mam please made a videos on linear regressions and logistic regressions

villian
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After watching so many videos i finally understood it here. Thankss a tonnn

tanishkaachaturvedi
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Madam You makes Machine Learning very simple. Highly appreciate your hard effort. My aktu MTech exam is after one month. Can you make the video in these topics please:COMPUTATIONAL LEARNING THEORY – Sample Complexity for Finite Hypothesis
spaces, Sample Complexity for Infinite Hypothesis spaces, The Mistake Bound Model of
Learning.

panchamaggrawal
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If k= 2,
pass=1 and fail=1, then what we should consider?

PRASHANTKUMAR-bkoc
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I just realized that my prof learns from you before teaching us 🙇‍♂🙇‍♂🙇‍♂

sreecharansaravanan
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Thanks a lot for all your hardwork & honest efforts

xyz-pctl
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insanee, the way u explained!! with all the jargon dumped into the college material, i tht this topic wd be confusing or long.

godakartik