Introduction to Principal Component Analysis (Pt. 1 - Theory) | PCA Explained | Tutorial & Example

In the video, Cansu explains the theoretical background of a PCA. What is a PCA? How can you apply it? And how can the results of a PCA be visualized? Watch the video to learn more on these topics!

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[DennyFernandezdelViso]

The best explanation of PCA I have seen so far!! Thank you Cansu.

[sachinapaudel]

I like crispy but no-fat pizza :) Loved your PCA explanation.

[darrylmorgan]

Thank you Joachim and Cansu for the really insightful tutorial of PCA.Looking forward to the next tutorial on this topic :)

[wackojacko]

I thought this was pretty good. I don't have a strong background in linear algebra or statistics, but this seemed to lay out the ideas necessary for PCA in a clear manner. Looking forward to the next video.

[DennyFernandezdelViso]

Also thanks to Joachim for the useful channel.

[agsoutas]

I like this new type of videos, keep up the good work please 😊

[fisherh]

var-i-able! I cannot say this any other way now.

[griffithberserk]

Thank you! Will you also do a series on independent component analysis? Thanks in advance

[northernswedenstories]

Great timing! Any chance you can do one on MCA also? Also, your website had progressively gotten worse with ads that it is borderline unusable

[anandabiswas]

Can you please share the dataset that you used ?

[academicskillsdrkhurram]

Thank you for excellent explanation of PCA. Can you please share the R script for this lesson?

[rhino-]

I need help!!!
How can i program the integrated squared error (ISE) of Gamma distribution using the Gamma kernel with (UCV(h)) in R???? PLEASE 🙏