StatQuest: PCA main ideas in only 5 minutes!!!
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- เผยแพร่เมื่อ 25 มิ.ย. 2024
- The main ideas behind PCA are actually super simple and that means it's easy to interpret a PCA plot: Samples that are correlated will cluster together apart from samples that are not correlated with them. In this video, I walk through the ideas so that you will have an intuitive sense of how PCA plots are draw. If you'd like more details, check out my full length PCA video here: • Principal Component An...
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0:00 Awesome song and introduction
0:27 Motivation for using PCA
1:23 Correlations among samples
3:36 PCA converts correlations into a 2-D graph
4:26 Interpreting PCA plots
5:08 Other options for dimension reduction
#statquest #PCA #ML
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Special thanks to PROTIST for the Russian subtitles!!! :)
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.
Thank you very much!!!! :)
@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 )
@@tuongminhquoc I really appreciate it! :)
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.
Really excited when watching this video in Vietnamese subtitle, thank you!!!
Very nicely explained thank you so much for Putting this
Hooray! I'm glad you like it. :)
Without Statquest, I cannot imagine how hard my academic and professional life would be.... Thanks a lot Prof Starmer!
Thanks!
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!
Thank you! :)
If my university would have been teaching 10% like you I would have completed my engineering in just 1year
Awesome video ♥
Bam! :)
Thank you Josh for the clearly explained abstract concepts! It is even more informational than a 2-hour lecture in a college.
Glad it was helpful!
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.
Every maths prof. must be like, way of explaination is as simple as possible. Thank you.
You have a teaching talent.
Thank you for the all your videos!
Thanks! Now I finally understand what I am doing in the lab! 🇧🇷
Hooray! :)
You are helping me survive my Research Analytics class - HOORAY! :-)
BAM! :)
Your voice tone reflects how confident and smart you are... Thanks, plz we need more videos related to machine learning stuff
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!
Glad I could help!
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....
Thank you! :)
Came for the explanations and definitely stayed for the openings
bam!
What a great video that clearly and concisely explains PCA. Great job, keep these up.
I just cried after watching your video.. I looking to easy concept for one hour .... Thank you
Glad it helped!
Best explanations of PCA in layman terms. Great work. Thank you!
Wow, thanks!
Thank you for these sequencing, singing, and recipe videos, this channel needs more subscribers.
Thank you very much! :)
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.
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): th-cam.com/video/FgakZw6K1QQ/w-d-xo.html
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. :) :) :)
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 ;)
Wow, thanks!
I always come across your videos when looking for stat information. And always your videos are the best.
Awesome! :) Thank you! :)
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!
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! th-cam.com/video/FgakZw6K1QQ/w-d-xo.html
i was also having the same problem. i watched his 20 min video but I couldn't understand anything.
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... ;)
Holy moly. I finally understand the concept of PCA plots :O THANK YOU SO MUCH
Bam! :)
Wow, this sheds a lot of light on dimension reduction. Very clearly explained & illustrated. TQVM!!!
Thanks! :)
As I learn PCA in a machine learning course, I knew that you have a good video explanation on this topic!! thanks!
Glad it was helpful!
You're a lifesaver, Josh!
Thanks!
Thanks!
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.
Glad it was helpful!
Good stuff Josh. Going to the lengthier version to further blast this through my thick skull. 😃 Appreciate your efforts with this!
Enjoy!
100s of lines in 5 min.. great work sir.
wrg
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!
Hooray! :)
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.
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
Nice! :)
Finally understood it!
Thank You for a great video
Thanks for the explanation!! It makes sense to use it with dendrograms for plant breeding!!
BAM! :)
Best regards from brazil, you are the best! thank you
awesome pca for dim reduction with vertical+horizontal+depth all in one 3-d rotates
:)
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!
Thank you! :)
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!
bam!
Thank you for existing!
Thanks!
Excelent work! I love your video, It is so well explained. Thanks a lot!
Thanks again. Good as always. Thanks for the weight and height example!
Thank you! :)
StatQuest is the best
Hooray!!! :)
Thanks Josh, I can always get something new from your videos.
bam! :)
I looovee your voice and your explanation... Great job, Sir.. Thank you !!!
Hooray! I’m glad you like the video!! :)
Great explanation as always! Thanks a lot for your effort!
Glad you liked it!
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
Thanks!
I was dumb before watching this video. Now I am still dumb but at least I understand PCA.
:)
well done, short and clean, thank u
you need more subscribers!!! Thank you so much your videos are life saver
I didn't skip the ad to support you (it's the least I can do haha. )
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.
Awesome! Neural Networks should come out in the next few months.
@@statquest Thank you for so clearly explaining these concepts. Looking forward to your Neural Networks videos! Will share your videos with my colleagues.
You have saved me from the sea of formulas. Thank you!
bam!
Great!! Your Calm and crystal pronunciation makes the concept very clear to understand. Thanks
Thank you!
Thank you for all the videos. It is super easy to understand.
Thanks! :)
WOW. YOUR EXPLANATIONS, MY GOOD MAN, WERE CLEAR.
Thank you! :)
oh man!! thank you, I needed this so bad
:)
StatQuest is really the best! that you so much to prevent my brain to explode!!!
Thanks!
Thank you for your clarity!
Thanks!
WTF HOW IT CAN BE THIS SIMPLE OMG! THANKS.
bam! :)
thanks Josh your videos are amazing!!!
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: th-cam.com/video/FgakZw6K1QQ/w-d-xo.html
Fantastic video, thank you!
Hooray! :)
Thank you so much!
This was such a great explanation and so entertaining!
Glad you enjoyed it!
So well explained it!!! AMAZING!!! Thank you very much for making this video!!!
Glad you enjoyed it!
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!
Thanks so much!
this saved my life thank you i hope you're doing well sir
Thanks!
thanks for these videos it helps me understand better compared to classes
Thanks! :)
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?
Clearly explained Josh. Thank you
Thank you!
i watched your 20 min video too. But this was easier to understand. Thank you so much.
Hooray!
simple enough for my understanding. thanks a lot.
Glad it helped!
StatQuest is definitely the best 📊
Hooray!!! :)
Your're great man!
Thank you. Good to know.
This was so smoothly explained. Thank you soooooooooooooooo much!!!!!
Thanks!
Excelent video thank you very much!
Hooray! I'm glad you like it. :)
Just want to let you know, the 'Awesome song' just won you a subscriber.
Bam! :)
Excellent demonstration
Phew, thank you so much! This was very helpful.
Glad it helped!
StatQuest is indeed the best.
Thanks!
Wow--this was SO very helpful, even if corny at times, lol. Thank you so much!
Thanks so much! :)
Thanks for keeping this video
i love your way of explaining things tnx alot ...these videos are really helpful
Glad you like them!
Great concise presentation!
Much appreciated!👍
Thanks!
The way you easily and calmly explain such complex topics is outstanding. Thank you very much.
Thanks!
Such a beautiful work
Great video indeed
thanks !!
Thank you! :)
I really really enjoy your videos!!! Thank you so much !!!!
Thank you! :)
really good video!! thanks for the super comprehensive explanation! (I'm also a University of North Carolina graduate. Tar Heels!)
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!
Dude, you are my hero. Thanks!
bam!
Thanks for the priceless videos, Can you make a video on FPCA, please?
Im so thankful for your videos bro !
Glad you like them!
Thank you for the Arabic subtitling, as I have always recommended your channel to my students; best wishes.
Thanks!
You just earned yourself a subscriber!!!!!
bam!
thanks man.. your videos are both very informative and fun.. really appreciated ❤❤❤❤❤❤
Glad you like them!
Congratulation. it is an excellent example of PCA.
Thanks! :)
This is saving my mind. I am an archaeologist trying to understand statistics and really reading abount ir has been nothing but torture XD
Wow can I ask, do you study statistics out of pure interest?
Good luck with your studies!