KNN Algorithm Explained with Simple Example Machine Leaning

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This Video explains KNN with a very simple example

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NO ONE..NO ONE explains topics more clearly than an Indian youtuber with pen and paper.Amazing video😄

furqansiddiqui

Best use of 13min. Videos like this are just gem! 💎💎💎 I wish university faculties could teach you like this.

dipto

Kudos to the explanation. Your efforts are appreciated.

But there are some correction to be made.
1) The Euclidean distance of Zaira is 29 and not 9
2) The Euclidean distance of Smith and Michael with respect to Angelina are equal
3) The 3 nearest Euclidean distance with respect to Angelina are of
Names = (Sara, Smith, Michael)
Euclidean Distances = (11, 10.049, 10.049)
Sport Class = (Cricket, Cricket, Football)

Anyways decision will remain the same (i.e - Prediction will be that Angelina will belong to Cricket Class)

But what if the sport class were (Cricket, Neither, Football).
As we have 3 category in the sport class so it is not a binary classification what will be the conclusion in the above mentioned case?

kunjjani

Clearly explained with simple example.. within short span of time I cleared the concept.. but you have to include python programming for this algo also

sachinahankari

Very clear. I'm not in this kind of things, but I think that it can be weighed in some ways. In this example it seems that the gender is not very important, because in the euclidean distance it doesn't really count compared to the age gap . If I want to give it more importance I can use male=0 and female=10 or male=0 and female=20.

lucafrancescoabatangelo

Sir, there is a small mistake in the distance value of zaira, it’s 29 not 9. But rest of the video is excellent. Good explanation Sir.

ksuhas

Great video, with a very clear explanation. I understood very easily with it.

ricardopaesdebarros

Sir really explained in simple way.Thank you 👏

sheenajohnson

This is brilliant. Thank you so much for the clear and simple explanation.

nishasundaram

That's why I love Indian people, thank you

rezaghasemzadeh

Great Explaining the Concept Sir, But I think Sara is needed to be considered in stead of Zaira as distance from Zaira is 29, not 9.

sheetalkumarsahu

You saved my life I have exam tomorrow !!!

sabiyasultana

Very simple n neat explanation of distance calculation

chaithragowda

And what happens in the Ambiguous cases? Like in the resultant K values i.e three people with 9, 10, and 10.05 distance respectively... what if they have different likes like Cricket, Neither and Football respectively? There is no common choice.

In case if we choose the `nearest` person who is here with 9 distance is the one, then what if there were two with same minimum distance and different classes ?

enchanted_swiftie

Really nice explanation...!!!
Thanks for sharing...!!!

pravinbaste

i like it simplified.But i think there is some calculating mistake on Zaira's distance to Angelina.

ግዜጀግናው

thank you for such a wonderful explaination

saurabhdnyandeosonawane

What if three nearest data points have cricket, football and neither? Which will we predict for Angelina?

vishnu

Eucledian distance from Zaria I think it’s more (Age 34)

nareshakula

which cond will occur if both having same probability for cricket and football

arjitsharma

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