StatQuest with Josh Starmer
StatQuest with Josh Starmer
Statistics, Machine Learning and Data Science can sometimes seem like very scary topics, but since each technique is really just a combination of small and simple steps, they are actually quite simple. My goal with StatQuest is to break down the major methodologies into easy to understand pieces. That said, I don't dumb down the material. Instead, I build up your understanding so that you are smarter.
Contact, Video Index, Etc: statquest.org
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Double bam
BAM!
Thank you so much!!! Love the sound effects and the jokes
Amazing video, Thank you ! can I ask, How are the weights and biases being learnt in this example ? Thank you 🙏
Excuse me, what is your code editor?
thanks for the video
Hi StatQuest, you said that by scaling the inputs between 0 and 1 it makes the math easier, but what would change if the inputs were not scaled. Also great series of videos :))
Anyone watching this video on 2024 use ConfusionMatrixDisplay.from_estimator() instead of using plot confusing matrix() with the same parameters
Seeing your face for the firsts time. You are such a gem to people interested in statistics and machine learning. Very simplified. If I wanna get some intuition before going deep into the text book in a very quick manner no doubt I'll watch stat quest. I wanna meet you at least once. Thank you so much man. Respect for you buddy.
Highly educational and entertaining! Thank :)
Finally got it ❤
bam! :)
Amazing explanation and great voice! It is a pleasure to listen to You and all examples are funny. Live the pictures and examples. Thank you!
Thank you very much!
BAM! 😎😂
:)
Thanks for the great explination.
You are welcome!
so whats the standard deviation of the mean of the means of the means called
I believe that is exactly what it is called.
@@statquest oh cool, stats are dope
why do you use 1:1 resampling instead of stratified resampling? The dataset contains 3.5 no_default:1 default. Does this affect SVM results?
What time point, minutes and seconds, are you asking about?
I have an exam in 3 days, yet now I am questioning why I didn't found this channel since the beginning of my semester............
Good luck!
@@statquest thank you!
you are legen wait for it dary
Thanks!
You are the boss
Thanks!
"BAM" it's 5 years And still best explanation of ML "Double BAM" i discovered this channel 😆
Thank you! :)
infinite BAM!!!
:)
U R A LIFE SAVER, THANK U!!
You're welcome!
Josh Starmer 2024
:)
Great work, Thank you Josh, I'm trying to connect ideas from different perspectives/angles, Does the lambda here somehow related to Lagrange multiplier ?
I'm not sure.
Thankssss!!!! Was wondering if our greatest Dr Starmer could come up with a video talking about CCA, Canonical Correspondence Analysis as welll!
I'll keep that in mind!
very clear and concise
Thanks!
Well I guess I know how to spend time learning Machine Learning this summer!
bam!
excellent explanation. thank you
Thank you!
I wish you would do a series that teaches Linear Algebra. I love your style, and it should pair well with LA that's pretty dry by itself.
I'll definitely keep that in mind. I do have one video that goes deeper into matrix multiplication (and explains why it is so funky) here: kzread.info/dash/bejne/jIiom8msd8bKdNI.html
Dear Dr. Starmer, Thanks for answering my question regarding the use of transformers in genomics technology and also pronouncing my Persian name, Arash. You are great! I searched for the paper of Dr. Pinello and found the "DNA-Diffusion" preprint paper (related to Chromatin Accessibility and Gene Expression via Synthetic Regulatory Elements). Is that what you mean? You deserve the best and I really appreciate your time and efforts. Thanks again for your wonderful KZread channel. BAM!! Best, Arash
Yes - I believe that is the manuscript - it might be that I misspoke and this wasn't an example of a transformer in genomics (and instead a diffusion model). That said, there are lots of uses of BERT (an encoder-only transformer) in omics. Just google. BAM! :)
Our lecturer at the uni recommended us this video. I am amazed how simply it is put. Great job! Both funny and informative ❤
Thank you!
after watching these videos I have no idea how my lectures actually manage to make their lecture boring and try literally gatekeep slides to increase attendance. like why not just teach the concepts properly.
bam!
statquest's the best thing i ever found on the internet
Thank you!
this channel is the best resource of ML in the entire internet
Thank you!
Hi Josh, quick question on the % interpretation of the r- squared. How can I interpret the percent in comparison to the whole, i.e. 100%? If I try n number of variables to explain y values and their individual r-squared sum up to 100% then can I interpret that these n variables together FULLY explain the variation in y? Why or why not? Appreciate it. @statquest
Is this a homework question?
@@statquest not really as I am done with school already :) . I was just thinking out loud as I went through the video. My interpretation is that those n variables CAN NOT account for 100% explanation of variation in y because it would mean that I have found a combination of n variables that explain a phenomenon. This would be the case as if I have found n variables that scientifically explain the variable y and I should be able to come up with an scientific equation. My guess is that the aggregation of % of r squared may be less than, equal to or more than 100% but can’t explain how. If you explain that with your magical video, it would benefit your audience, including myself. Thanks
@@ghopuram Another thing to think about is that there is usually some amount of correlation among the "independent" variables (variables in the model that attempt explain the y-axis variable). And thus, there is overlap in the variation explained by each variable.
@@statquest that makes sense. So multicollinearity must be identified for any model. Lesser the overlap, better is model prediction output.
Absolutely brillian videos!!! I watched everything from the 1st one to this one in the list and understood so many things that I never understood in schools. I love your videos so much!
Awesome, thank you!
what do you mean by reclusters based on the new means ?at 03:52
Each time it calculates the means, it tries to rebuild clusters. This is repeated until the clusters stop changing.
so awsome
Thanks!
Clearly Explained!!
:)
Great Josh. May Almighty Allah reward you.
Thank you!
Thanks , i need this it helped me save time please keep on making videos
Thank you!!!
Sir, Can you make videos related to Linear Algebra and Calculus, and add long detailed videos with questions and solutions of stats/algebra/calculus
I'll keep that in mind.
@@statquest you can start long videos live classes, we are ready to pay for that
This is the best introduction to Machine Learning that I can get! Thank you!!!
Thanks!
bro thank you for all that effort to simplify things
Thanks!
🔥
Double :)
🔥
:)
The videos are over-animated. You need to see at all times a reasonable chunk of the expression or picture you are talking about. Often, the animation forces the field of view to narrow to only the part the video creator thinks you need to see. This does not help comprehension at all. It would have been best to keep the animation simple, show a reasonable chunk of what you are talking about, and use simple highlighting if you wanted to emphasize something.
Noted!
you saved me from losing 1 hour attempting to understand my imperceptible class slides. thank you!
Glad I could help!
Thank you very much♥️, but I want to know how you knew the p_value + Does the p_value decrease with the presence of more population in the test and vice versa + when can we say that the difference was due to chance? Please answer these three questions for me. I have an exam, and so far I don't differentiate anymore😢.
I'm not sure I understand your first question. The second one is answered in this video: kzread.info/dash/bejne/hKeXl9ynp7WbdqQ.html and the third one is answered in this video.
@@statquest Thank you for your answer🤍، I would like to know at what minute the answer to the third question was mentioned? because I watched the entire video and did not notice that.
@@q_med4 It starts at 4:32
You're a great teacher and a singer too . Double BAM!
Thank you! :)