awsome job

Thanks for your video! I have to fit a negative binomial regression and want to calculate R^2. Which R^2 should be used?🙏 thanks in advance!

Some people are born to teach. Thanks a lot for this amazing series of videos about multivariate analysis.

I have used three models for carbon estimation and i want to select best model among these three using multiple logistic regression for carbon storage in urban forest. I have dbh, height as independent variable and carbon data as dependent variable for each 136 tree species. Can i use this regression? Pls inform me. Thank you.

the best about MLE in LR, even better than my teacher explanations

Thank you for make it easy!

Thank you for this nice video.. I hope you can publish a video about sparse autoencoder

Any plans to upload transformer architecture?

SO HELPFUL!! THANK YOU

That's great,

This video should be recognized more

Hi, I have found different formulas for the confidence intervals. Could you share the reference from the ones you show in this video? P.S. Thanks for your videos, they're great!

Wow thank you. So clearly explained.

Beautiful explanation … 3 min into the video and I understood the whole gist of CCA! Thankyou so much !!! Whoever said that complicated things cannot be explained simply?

2:12 Why is your standard deviation for x1 = 0.61? If you sum [2.5, 2.0, 1.7, 1.4, 1.2, 0.9, 0.8] you get 10.5, then summing the squared differences gets you 0.32, then the square root of that is 0.56. I didn't get 0.61 for my standard deviation calculation of those samples.

Amazing! Exactly what I was looking for! 👏🫡 Subscribed

Jackson John Young Jason Thomas John

Thank you for the great and simple explanation!

very nice .thank you .

That's great, thanks a lot.

Thank you sir...

Thank you very much for this nice lesson. Please if you can send us an AutoEncoder Python code .. Many thanks

No notebook, no like and no audience

very nice .thank you .

Walker John Wilson Kevin Rodriguez Brenda

Great video. Thanks for showing how this works in R. I thought I had to switch to Matlab for ODE's ;-). Keep up the good work!

Williams Donna Martinez Larry Wilson Barbara

This channel is the best. This is where I really learn Statistics. Keep up the good work.

Davis Joseph Davis Steven Thomas Cynthia

Johnson Ronald Martin Steven Brown Michelle

Wonderful explanation in a concise way !! Thank you very mcuch sir !!

hands down the best video on eigenvalues & -vectors on youtube

Truly feel this is the best explanations I’ve read or seen. I knew the details were lurking in plain sight thank you. This channel deserves millions of views.

Thank you so much, this is really helpful! The only problem is I cannot figure out how to do this analysis in R. Please help!

Explain pearson correlation step by step

Thank you 😊🙏

this channel is a blessing

Hello, if I have two randomised groups and taking measurements for them at three time points. And am doing unpaired test to compare groups at each time point . Can we also do paired comparison within each group or is that wrong to do?

Thanks for the content ! FYI at 5:06 you probably wanted to point the arrow to the Y column, not the X one

Thank you so much for the amazing videos !!!!!!!! could you please share the video of the standard error that explains where the 68% comes from?

Thank you man. I have an exam tomorrow and this video is really being helpful

Thank you so much.

Amazing vid. Got sub!!

Thanks Man ❤❤❤

this video understand more than others.... sooooo thank u and keep it up............... give example is beter way to undestand.... i kindly request videos that realated to Machine Learning 🥰

Why is my intercept with your data exactly 90 and not 89.775?

sir please have one video on LSTM. autoencoder video is amazing thank u so much!!

How can we solve that regression equation, y(infect) is class variable just having 0 or 1 as value

Great explanation. Very helpful

thank you very much for this channel it is like a treasure