PCA : the basics - explained super simple

great , great,great,great

Wonderful explanation in a concise way !! Thank you very mcuch sir !!

please provide link or the full title of the video you are referring to as next lecture at 11:55.

As someone who has delved into statistics, including PCA, through various sources and courses, I must say that your explanations are wonderful. I'm grateful for stumbling upon your YouTube channel!

Thank you for shiring all videos.

thank u so much

I was struggling until I found your video so thank you

very useful!

It would have been easier if the illustrative examples were from the realm of quantum mechanics ...

it just make sense to explain Eigenvectors and Eigenvalues when you combine them with superposition and collapse function, correct ?

Why use house areas, bedrooms, and prices to illustrate ? after all, everybody understands these variables so why use them ? correct ?

No, what we need to do is to incorporate quantum mechanics or biology, or the relativity theory in our illustration, so people would actually stop the video and go enroll in biology and genetics class, come back 6 months later to continue watching.

FANTASIC VIDEO!!!!!

TLDR; 7:04

Thank you very much sir

This is one of the best videos I've seen about PCA. Very clear and also very nice that he integrated all the information and explained some applications. Thanks a lot!

what an amazing video on PCA. Thank you for providing such kind of content😀

how does this video not have more views?! this was a simply brilliant intro to this topic! 👏👏

Legend, I don't know any maths. You just made it simple

If you are a student: You are not alone, you cant understand everything first time you get introduced to it. Take small steps, and repeat.. over and over again. Thank you for this video, one of the best when it comes to explaining principal component analysis.

This is truly awesome! The lecture is very detailed and clear.

I can only imagine the time, dedication, and hard-working that goes into creating such explanatory videos. These are very complex and abstract topics yet the presentation makes it so easy to comprehend!

I am in love with this channel. Please keep on with the good works. God bless you richly

this work apply on Forex Market , please confirm sir you have a example share it very I am very thankful to you.

really a clear explanation!

Thank you

Best video

Grande, fantastico. Ottimo lavoro

The best PCA video on YouTube!

The best videos ever on the internet for use to demystify the abstractness associated with PCA. Thanks, great Tutor!

Best explanation of PCA on YouTube. Keep it up 👍

Excellent video for a beginner like me! thank you very much.

Excellent videos. I bought a lot of your pdf. You should publish more videos on Machine learning algorithms.

Wow sir . excellent lecture .fist time commendable lecture on PCA in yutube history.what a candid and crystal idea about this topic!. U r hero sir.

Thank you for the time and effort you put into these informative videos.

Would you consider doing a video on Factor Analysis?

Eigenvalue for variance covariance matrix is 12.75 and 0.389 . I was wondering how you reached to -0.8 and -0.6.

I am so happy to find your chanel! Amazing explaination!
Your chanel deserves millions subscribers!

Wow!! This explanation is simply amazing. Thank you so much for the valuable content. Great work!

I too just stumbled across your videos. I have tutored MPH and MSc Epidemiology students in biostatistics (& epidemiology) and I know how challenging it can be to provide clear and well understood explanations. I find that your explanations are so concise and clear. I will definitely recommend them to my students and colleagues.

I stumbled upon your channel when I was looking simple examples (of complex algos) that can by illustrated using Excel or by hand.

Your videos are great! Thank you for the effort and sharing.

Simply and clear explanation

A great video. I appreciate your time.