Statistics - Canonical Correlation 1, What is it?

[@Tungaruanrootz]

best canonical tutorial on the internet. thank you brother, time and effort putting this together is much appreciated

[@TheMichaelBoerman]

Great video, incredible explanation of this topic. I can tell you put in some serious time to preparing, and it paid off! You should seriously consider making more explanatory videos!

[@100sss2]

thanks, really liked how you put it into a real life example... greetings from serbia!

[@Melixanne]

Great analogy. Thank you so much for helping me learn CCA!

[@abbiedoane-simon5383]

I don't even like football but this made so much sense!!! Thank you!!

[@LilithsErrand]

your explanation is the best one I have found on TH-cam, btw. thank you :)

[@gvbvwockee]

Really helpful having an example like football to compare to. It certainly makes more sense here than in my lectures. Thank you!!

[@olu4life]

This is the best explanation of the canonical correlation I've seen from anyone. Great job. You're very talented. Keep it up.

[@KooKim-n8o]

This video is great, I don't know why you don't have more subscribers

[@YasirMushtaq-r5n]

Hey
You did a great job with the analogy. Keep it up

[@updeshpal8821]

This is really helpful. Very simple and nice explanation.

[@katejett5444]

Thank you so much! Super helpful and I love how you use the football team picture!

[@TheAnairori]

I've studied CCA tons of times because I don't get it right but finally this video made me understand it in a very simple way. Thank you so much, congratulations on this awesome explanation :D Cheers!

[@ernestamoore4385]

Excellent video. One question though: How to choose whether to use CCA or PLS? The difference is that PLS maximises the covariance between the datasets whereas CCA maximises the correlation.

[@shivanshikhatri3372]

Thank you. You just made this a lot easier to understand.

[@danielsliwinski6]

I can't express enough how good of a video it was! I really appreciate it! Thank you!

[@zwitter689]

Good job, really like your presentation style - great voice .

[@tulio829]

awesome explanation mate!

[@EMChantalG]

You did a great job! Thank you so much.

[@clementinetine5355]

Very clear and great explanation. Thank you so much!

[@ibrahimniftiyev]

Perfect explanation! Thank you.

[@patrickmarcoux4937]

This was super helpful! Thanks so much!

[@DifferentStorys]

I really liked your explanations! They will surely help me in my studies! Thank you for creating and sharing this video! :-)

[@ryandikdan]

Thank you so much, this is really helping me understand about scRNA-seq analysis!

[@camilaarcu2254]

Hi Ryan! Are you referring to the CCA analysis of Seurat package?

[@daisyzhan2543]

awesome and want to see more

[@daniellet833]

This was very helpful!

[@sabrinaramos1673]

Amazing explanation!!

[@theforestgardener4011]

Great explanation!

[@estherveldhuizen7665]

Thanks a lot! Mad so much more sense to me now :)

[@ernestamoore4385]

Excellent video. One question though: How to choose whether to use CCA or PLS? The difference is that PLS maximises the covariance between the datasets whereas CCA maximises the correlation.

[@savannahg8542]

This was so helpful, thank you!

[@peterdonnelly1074]

Great explanation

[@vikmanjj]

This is really helpful! Thanks!

[@rupalisultana3031]

I am from Bangladesh..I m not clear canonical correlation analysis..can you easily understand me....

[@nasimrabiei8621]

Thanks.
How we can validate the result of canonical correlation analysis?

[@xenaz8988]

like your video. make more, please :-)

[@avnishbhattrai4569]

This was a great explainer and I don't even watch football haha

[@elysian_NNS]

WHATTTT AN EXPLANATION :)

[@munawarali733]

good one

[@hannaabe5188]

Thank you so much!!!