Відео

That was a really nice explanation, though I wonder if The Algorithm might deboost this video based on what you said around 0:31...

Concise and Clear!

phenomal explanation. after watching around a dozen of videos and not being sure what the difference is, you made it so simple in just 2 minutes. excellent job

This is the easiest explanation to understand.

great explanation..thanks

exeptional explanation!

Simplest and to the point explanation Thank You

Amazing video needed. this for my data mining course

Wow, best explanation Ive seen

Awesome video man!

Holy moly! i'm so glad i found this channel! i'm bulk watching every video

Im glad I found this. Easy to understand. Thank you

@TheDataPost Which tool/software do you use for the visualization?

great vid

the best and easy explanation ever, good job

thanks

Perfectly explained, thanks!

Very good video

great vid. Thank you

Thanks

you could use more of the actual terminology, like fit and predict phases, but overall congrats very weel and concise video

This video referred to one aspect many of the videos about the same subject do not: You get one model per fold (one set of "fitted" parameters, one "RMSE" if that is what you are using to evaluate that model, one set of predicted features, etc), not one final model so, as the author said, you use it to evaluate how a certain type of model can perform by averaging the total of models (averaging the statistic you are using to evaluate how good is the model) you get when doing one model training per fold, NOT to find the final model parameters. It is almost never mentioned this tiny detail. And I see many people, like myself, wondering what the end result of this method is and its usage.

Thanks for the video! In the 2:30 part of the video, I would like to know what software did you use to create this animation effect?

Very much appreciated. Explained quickly and clearly

Quick and effective. Great video

Thanks 👍

Initial centroids are based on points already in the dataset, not selecting them randomly like he did in the beginning.

Excellent tutorial, appreciate your efforts

Best explanation!

amazing

very cool

Vey clear, thank you

That's a clear explanation, thanks alot

I love yoy, thanks

Now i understand. Thanks

@0:27 The strip function seems to not work for some reason. It says " tuple' object has no attribute 'strip' "

Thank you thank you.. I was puzzled with how do we decide which model to adopt until I saw this video.

Thanks for this! How to use the number of clusters if you don't know beforehand?

This video is proof there are only 2 genders out there! Take that woke people

straight to the point, thanks.

Best explanation I have seen soooo farr 👏

very nice! thank you!

Very intuitively explained! kudos!

short and clear.Thank you

And this was how AI took the world.

does it mean it has to visulise the points, and then may select initial centroids?

great

Nice

amazing simulation in the end

Great explanation. You made it simple and concise.