Thank you

Thank you very much

Very helpful!✊

Very good explanation but I'd still fail to draw that diagram correctly 😀

Do you know a method to plot my estimates of the gls modele using ggplot

thank you very very much

why the last term is a vector?

Thanks

Thank you for the video. It's very informative.

What is c?

Damn. So clear. The best explanation on KZbin

It is common practice in model building to remove the intercept by adding zero to the formula. However, if one does that in the example given here the correlation between the residuals increases (0.5 to 0.7). Can anyone where explain what causes that?

Hello. I want to implement the ridge regression method on a small dataset. but I want to get it by solving the model manually (by hand). How can I do it? I will be glad if you can help.

Thank you so much

Please make a playlist so that we know what order the classes go in.

Hi, thank you for these excellent lectures. At the end of this lecture, you mention applying ridge regression in practice in the next lesson, but it is not clear which video is the next in the sequence. It would be super helpful if you could add a link to the next lesson or even better - create a playlist with all the lessons in sequence. Thanks

I LOVE YOU

Awesome Explanation!! Thank you!

Can you make a lecture on transforming models with non-const variance?

Clearly explained...Thanks

Thank you.

Good explanation 👍

Can I understand with nonlinear models how I drivative parameters

How to calculate the value of hi??

0:30 AA^T = A is absolutely not what makes a matrix idempotent. Idempotency for matrices means A^2 = A. AA^T = A characterizes idempotency only for symmetric matrices.

One of the most underrated channels on youtube ❗. But Y vector must be nx1, not 1xn :)

saviour

Awesome.

🎉🎉

i love u

Are the regression coefficients interpreted the same way as a traditional linear model (i.e., a one unit increase in a predictor X, increases outcome Y by the beta coefficient value)?

This so called helpful video is why people hate math people. I feel like I have wasted ten minutes trying to understand.

super explanation

Extremely helpful. Thanks 👍

Thank you! This is super straightforward and clear!

Thank you ma'am.the previous video where u derived the error variance equation? Cant find it

Hi. first really thanks for talking about stuff that everyone else shies away. second, how did you calculate bias and variance? where can I find the derivation of these formulas? thanks again

Thanks a lot for your video, can you share the dataset of this video? I need such data to understand more about GLS. Thanks

Thank You! This was extremely helpful!

Nice and clean ! Thanks for your efforts !

Great video and what a nice board, thanks for sharing!

thanku

last part of the video, tidymodels has functions for fitting the best model if you use a workflow.

very helpful, thanks

It was very helpful to understand the procedure of find out the important variable from a set of variables. How does the data=heart look like, can you upload/share the link to the data set? Thank you for your time and effort.

I need help with doing polynomial regressions on auto dataset in R.

Excellent, please can you share your R code?