Support StatQuest by buying my book The StatQuest Illustrated Guide to Machine Learning or a Study Guide or Merch!!! statquest.org/statquest-store/ Special thanks to PROTIST for the Russian subtitles!!! :)

@falaksingla6242

2 жыл бұрын

Hi Josh, Love your content. Has helped me to learn a lot & grow. You are doing an awesome work. Please continue to do so. Wanted to support you but unfortunately your Paypal link seems to be dysfunctional. Please update it.

I appreciated your effort spent on these videos. Sadly, since I am still a student, I have no money to support you just a bit. So, I have spent much of my effort to translate your videos into my language as it is my best language as a thank to you. Hope you would accept my thank.

@statquest

4 жыл бұрын

Thank you very much!!!! :)

@tuongminhquoc

4 жыл бұрын

@StatQuest with Josh Starmer I didn't think you would check this that soon :))) thanks for accepting my contribution!. I'll translate more of your videos whenever I have free time (and wifi haha :D )

@statquest

4 жыл бұрын

@@tuongminhquoc I really appreciate it! :)

@leonguyen1204

3 жыл бұрын

No wonder the subtitle was spot on! Great work mate, thanks for that! Also thanks @StatQuest with Josh Starmer, nice video with simple explanation, I'm trying to make sense of it.

@ngoctandang9307

3 жыл бұрын

Really excited when watching this video in Vietnamese subtitle, thank you!!!

Very nicely explained thank you so much for Putting this

@statquest

5 жыл бұрын

Hooray! I'm glad you like it. :)

This is by far the best on internet, Khan Academy doesnt have this content, all courses on coursera,udemy either wave formulas in the air or dont bother for a simple yet enlightening explanation..This is what practicioners need.Bravo!

@statquest

2 жыл бұрын

Thank you! :)

I enjoy your videos and you are performing a valuable service. The few things I would mention that would be helpful are that PCA is really a measure of covariance in a sample and that PCA does NOT provide ANY indication of statistical significance. Understanding Covariance is helpful to really understand PCA. Also, PCA is particularly useful when patterns emerge between experimental and non-experimental parameters. If patterns associated with experimental parameters are observed (i.e. treatment conditions) it indicates that there may be changes between samples/populations that are of interest; in cases where there are patterns associated with non-experimental parameters (such as collection date or incubation conditions) it indicates that the date of collection resulted in more variance than experimental parameters. In such a case, it points to a possible flaw in experimental design so that it would be of benefit to re-evaluate sample collection/preparation/incubation etc... in the workflows to minimize the influence on the studied populations.

Thank you Josh for the clearly explained abstract concepts! It is even more informational than a 2-hour lecture in a college.

@statquest

3 жыл бұрын

Glad it was helpful!

Your voice tone reflects how confident and smart you are... Thanks, plz we need more videos related to machine learning stuff

If my university would have been teaching 10% like you I would have completed my engineering in just 1year Awesome video ♥

@statquest

Жыл бұрын

Bam! :)

You just saved my life, sir! Doing journal club tomorrow and I had no idea how to read a PCA from steady-state metabolomics. Thank you!

@statquest

3 жыл бұрын

Glad I could help!

You have a teaching talent. Thank you for the all your videos!

Every maths prof. must be like, way of explaination is as simple as possible. Thank you.

What a great video that clearly and concisely explains PCA. Great job, keep these up.

Thanks! This was a great overview. I am in big data for a pharma company and we added PCA to one of our data tools. The documentation we received was a little "dry" so thank you for putting this into easy to understand key concepts. This helped a lot. Also, I did my original graduate work in mRNA decay so bonus points for dragging mRNA into this. :) :) :)

You are helping me survive my Research Analytics class - HOORAY! :-)

@statquest

4 жыл бұрын

BAM! :)

Thanks! Now I finally understand what I am doing in the lab! 🇧🇷

@statquest

4 жыл бұрын

Hooray! :)

Thank you for these sequencing, singing, and recipe videos, this channel needs more subscribers.

@statquest

3 жыл бұрын

Thank you very much! :)

Best explanations of PCA in layman terms. Great work. Thank you!

@statquest

3 жыл бұрын

Wow, thanks!

This is one of the most great channels I have ever seen . If u are looking for a good ,easy and quick explanation you are in the right place ;)

@statquest

2 жыл бұрын

Wow, thanks!

Great video! I became a bit addicted to the StatQuest videos and my anxiety levels increased for a while, not seeing the usual morning Monday upload. Now I need to figure out what t-SNE plots are... ;)

I've been searching PCA for dummies for so long and I'm glad I found this! I can finally understand what the researchers in this journal I'm reading are trying to say Haha!

@statquest

5 жыл бұрын

Hooray!!! I'm so glad I could help. If you want to go a little bit deeper, let me recommend my other PCA video. If you watch that one, you will be a PCA master! kzread.info/dash/bejne/eJuVzbywZq6XgbQ.html

@naturaldisastertv3298

3 жыл бұрын

i was also having the same problem. i watched his 20 min video but I couldn't understand anything.

As I learn PCA in a machine learning course, I knew that you have a good video explanation on this topic!! thanks!

@statquest

2 жыл бұрын

Glad it was helpful!

Holy moly. I finally understand the concept of PCA plots :O THANK YOU SO MUCH

@statquest

3 жыл бұрын

Bam! :)

Extremely helpful thanks, explaining the principal components in the order that you did, you nearly lost me I would consider rearranging the explanation of what pc1 and pc2 are in the video.

@statquest

5 жыл бұрын

Glad you liked this video! If you have time, you should check out the new and improved version (which is longer, but it's worth it, I promise you): kzread.info/dash/bejne/eJuVzbywZq6XgbQ.html

I always come across your videos when looking for stat information. And always your videos are the best.

@statquest

5 жыл бұрын

Awesome! :) Thank you! :)

Wow, this sheds a lot of light on dimension reduction. Very clearly explained & illustrated. TQVM!!!

@statquest

3 жыл бұрын

Thanks! :)

Best regards from brazil, you are the best! thank you

Good stuff Josh. Going to the lengthier version to further blast this through my thick skull. 😃 Appreciate your efforts with this!

@statquest

Жыл бұрын

Enjoy!

Finally understood it! Thank You for a great video

It is more understandable that my 1.5 h lecture and a good start of PCA class. Thank you for the video. Very well created.

@statquest

3 жыл бұрын

Glad it was helpful!

Hi sir, your explanation is very clear and vivid, I truly appreciate for it. Please do a video on Laplacian matrix and its application in dimension reduction.

Excelent work! I love your video, It is so well explained. Thanks a lot!

so well structured, so on point - like all of the videos. very rare quality of a teacher: the comibnation of deep understanding AND the ability to narrow it down... almost like reducing dimensions to make things simpler to understand ;) what a great work!

@statquest

Жыл бұрын

Thank you! :)

I had to wrap my head around PCA plots as part of a presentation and just could not understand it. This was really well done and I'll be taking this knowledge in with me. Thank you!

@statquest

10 ай бұрын

Hooray! :)

Thanks for the explanation!! It makes sense to use it with dendrograms for plant breeding!!

@statquest

4 жыл бұрын

BAM! :)

I wanted to browse a video with the title ''HOW TO THANK STAT QUEST?" the only answer I got is just pray for the channel's success....

@statquest

4 жыл бұрын

Thank you! :)

Thanks again. Good as always. Thanks for the weight and height example!

@statquest

4 жыл бұрын

Thank you! :)

Great explanation as always! Thanks a lot for your effort!

@statquest

3 жыл бұрын

Glad you liked it!

Thanks for the video. What do the sizes and colours of the circles represent in the 3D scatter plot which appears around 2'47"? Are these just an aid for giving the plot depth?

So well explained it!!! AMAZING!!! Thank you very much for making this video!!!

@statquest

2 жыл бұрын

Glad you enjoyed it!

I looovee your voice and your explanation... Great job, Sir.. Thank you !!!

@statquest

5 жыл бұрын

Hooray! I’m glad you like the video!! :)

Thank you so much for making this video! I've got my final year project due soon and Id lost the plot before this video!

@statquest

Жыл бұрын

bam!

I just cried after watching your video.. I looking to easy concept for one hour .... Thank you

@statquest

12 күн бұрын

Glad it helped!

2:03 People should stop here and listen very carefully because this is a really important concept, and I mean - Really important! When analyzing data and the parameters effecting the outcome of something - this must be the way to think. Great work

@statquest

4 жыл бұрын

Nice! :)

Thank you for all the videos. It is super easy to understand.

@statquest

4 жыл бұрын

Thanks! :)

StatQuest is really the best! that you so much to prevent my brain to explode!!!

@statquest

3 жыл бұрын

Thanks!

i watched your 20 min video too. But this was easier to understand. Thank you so much.

@statquest

3 жыл бұрын

Hooray!

100s of lines in 5 min.. great work sir.

@zes7215

5 жыл бұрын

wrg

Great!! Your Calm and crystal pronunciation makes the concept very clear to understand. Thanks

@statquest

2 жыл бұрын

Thank you!

Thank you for existing!

@statquest

3 жыл бұрын

Thanks!

you need more subscribers!!! Thank you so much your videos are life saver

@nadhirahbaharin.

6 жыл бұрын

I didn't skip the ad to support you (it's the least I can do haha. )

Came for the explanations and definitely stayed for the openings

@statquest

19 күн бұрын

bam!

Thanks Josh, I can always get something new from your videos.

@statquest

Жыл бұрын

bam! :)

well done, short and clean, thank u

This was such a great explanation and so entertaining!

@statquest

2 жыл бұрын

Glad you enjoyed it!

Thank you for your clarity!

@statquest

4 жыл бұрын

Thanks!

thanks for these videos it helps me understand better compared to classes

@statquest

4 жыл бұрын

Thanks! :)

You tech Harvard type of kind of stuff in elementary school way in all your videos, how do you that man! It's amazing, Thank you so much

@statquest

2 жыл бұрын

Thanks!

oh man!! thank you, I needed this so bad

@statquest

3 жыл бұрын

:)

i love your way of explaining things tnx alot ...these videos are really helpful

@statquest

4 жыл бұрын

Glad you like them!

I have taken ML this semester and to be very honest I am understanding all the concepts from your videos. I would be really grateful if you could upload a playlist on Neural network and Deep Learning.

@statquest

4 жыл бұрын

Awesome! Neural Networks should come out in the next few months.

@LorwaiTan

4 жыл бұрын

@@statquest Thank you for so clearly explaining these concepts. Looking forward to your Neural Networks videos! Will share your videos with my colleagues.

I love your humor! What a lovely way to present and explain. ahem.. what could be daunting to some lol (such as myself!) Grateful for the work and the passion! Keep up the good work! A new subscriber!

@statquest

5 ай бұрын

Thanks so much!

thanks Josh your videos are amazing!!!

@statquest

6 жыл бұрын

Hooray! If you have time, check out the new PCA video that I made. It's longer, but it goes way deeper and it's just as easy to understand: kzread.info/dash/bejne/eJuVzbywZq6XgbQ.html

This was so smoothly explained. Thank you soooooooooooooooo much!!!!!

@statquest

2 жыл бұрын

Thanks!

Wow--this was SO very helpful, even if corny at times, lol. Thank you so much!

@statquest

2 жыл бұрын

Thanks so much! :)

WOW. YOUR EXPLANATIONS, MY GOOD MAN, WERE CLEAR.

@statquest

2 жыл бұрын

Thank you! :)

StatQuest is the best

@statquest

5 жыл бұрын

Hooray!!! :)

Excellent demonstration

Thank you for the Arabic subtitling, as I have always recommended your channel to my students; best wishes.

@statquest

2 жыл бұрын

Thanks!

Fantastic video, thank you!

@statquest

6 жыл бұрын

Hooray! :)

I really really enjoy your videos!!! Thank you so much !!!!

@statquest

4 жыл бұрын

Thank you! :)

You're a lifesaver, Josh! Thanks!

@statquest

Ай бұрын

Thanks!

Great concise presentation! Much appreciated!👍

@statquest

2 жыл бұрын

Thanks!

Such a beautiful work Great video indeed thanks !!

@statquest

4 жыл бұрын

Thank you! :)

really good video!! thanks for the super comprehensive explanation! (I'm also a University of North Carolina graduate. Tar Heels!)

@statquest

5 жыл бұрын

Go Heels!

Hi! Your videos have helped me to understand multivariate analysis! Do you have some video about PCR or PLS? I would really appreciate them. Have a good day!

The way you easily and calmly explain such complex topics is outstanding. Thank you very much.

@statquest

2 жыл бұрын

Thanks!

Congratulation. it is an excellent example of PCA.

@statquest

4 жыл бұрын

Thanks! :)

Thank you so much!

YES!! What an awesome video. Love everything about it. So clearly explained, I like that you're only saying things that are humorous or extremely relevant. +1 subscribers.

@statquest

5 жыл бұрын

Awesome!!! :)

Thanks for keeping this video

Is there any rationale for choosing one method of dimension reduction over another? Or is it just trial and error? I did pca and t-sne with the iris dataset and the cluster separation looks pretty similar by eye. This is pretty remarkable as it seems that t-sne reduces everything to only 2 dimensions (as assessed by the number of Y columns in the t-sne _out list-from your example in the t-sne video). Does t-sne always reduce the number of dimensions to 2? I expected that PCA, which has more dimensions and therefore more ways to compare things, be more adept at cluster discrimination...

StatQuest is the best! Do you have any suggestions on how to do the last step: take clusters identified visually by PCA and clearly separate them? Particularly when they're not as cleanly clustered so discrimination becomes more subjective!

@statquest

4 жыл бұрын

It's a good question. You could try k-means clustering.

Excelent video thank you very much!

@statquest

6 жыл бұрын

Hooray! I'm glad you like it. :)

Thank you for such a nice explanation

@statquest

4 жыл бұрын

Thanks! :)

Thanks for your videos and work! Silly question: how do we assign the “variable” explained by PC1. So, we get the scores from The PC and they supposed to be close to 1 or -1 if they are better explaining each axis... right? By any chance you have a video explaining this? Thx!

@statquest

5 жыл бұрын

If you want to learn more about the variables that are important for each principal component, check out this follow up video: kzread.info/dash/bejne/eJuVzbywZq6XgbQ.html

Excellent video, really excellent. You are great at what you do.

@statquest

2 жыл бұрын

Thank you!

simple enough for my understanding. thanks a lot.

@statquest

4 ай бұрын

Glad it helped!

This is EXCELLENT! Thank you good sir!

@statquest

Жыл бұрын

Thank you! :)

These videos are Gold!!

@statquest

4 жыл бұрын

Thank you! :)

Your're great man!

Thanks, really great explanation. Easy to understand 😍😍😍😍

@statquest

2 жыл бұрын

Glad it was helpful!

Phew, thank you so much! This was very helpful.

@statquest

7 ай бұрын

Glad it helped!

thanks man.. your videos are both very informative and fun.. really appreciated ❤❤❤❤❤❤

@statquest

3 ай бұрын

Glad you like them!

👍🏻 great .... very neatly and slowly explained concepts of PCA.. but I would also like to see what if, we have PC1,PC2 & PC3 for an instance..! I would thank #statquest team for this video 👌🏻

@statquest

4 жыл бұрын

Check out the PCA, step-by-step video. It has many more details and explains how things work when there are more PCs. kzread.info/dash/bejne/eJuVzbywZq6XgbQ.html

Great videos, In this one, I think we could have talked more about genes being the dimensions, ie. the gene1, gene2, gene3, gene4,.. of each of the cells. And with Pca we want to reduce the dimensions from say from x genes to y PCs.

@rajivdhya9625

6 жыл бұрын

Joshua Starmer Thanks, your videos are great work.

Concise, and clear!

@statquest

3 жыл бұрын

Thanks!

Thank you. Good to know.

How long do you take preparing such an amazing explanation?. Everything is so clear that I can not even imagine why professors at university are not able to explain this way, after so many years of experience. Everything is so mathematical and let us say not intuitive at all, that make us think we are dumb.

@statquest

4 жыл бұрын

Thank you very much! :)

Thanks for the priceless videos, Can you make a video on FPCA, please?

I am fan of your videos and the way you explain. Most part of this video, and more prominently after 3:52, it started appearing like the plots of cells whereas it is really the plot of Genes and Cells are the dimentions of those Genes..

@statquest

Жыл бұрын

The video is correct - if you do PCA based on correlations, you start with plots of genes and end up with plots of cells. This is confusing and one of the reasons I don't think it's a good idea to teach PCA from the perspective of correlations. However, people still do it, so I have this video. However, in my opinion, an easier to understand method (because we plot cells the entire time) is the more modern approach that uses SVD and is explained in this video: kzread.info/dash/bejne/eJuVzbywZq6XgbQ.html