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W bro

Hello Mr Thomas, i just wanted to say a big thank you to you and this channel as it helped a lot a few years when completing my Thesis. I appreciate every upload and I'm sure it's helping someone, even if you're not getting the confirmation it is.

It's not Vijaya, it's vaishya, without long a sound

All right that good i practice of my mind

Set down over there dog

Set down over ther doh

Dog is a clearly because dog s heat me

This is a great video for helping students learn how to discover the main idea in a test question. Thank you!

In the second model, X_test and y_test should be used, it prompted an error as you had not changed X_train to X_test

Useful.

Thank you very much Sir!

96 000 rupees ka jarurat ha please help me

Sir plz help me my mom is verry sick

I think you just saved my sanity. Thank you so much.

I need the code or demo please

when I got to dummy variables, I see true and false in new column. can you please help me to fix this?

one of the best videos showing how to execute the same in Python . Thank you sir

Hi Darrin, I adapted the Elastic Net model from your tutorials to my context. So, the predicted values are close to the real values that I wanted to predict. However, I'm wondering how can I go further, I mean how can I predict future performance based only on my predictors, since the goal in fine is to get performance without testing it. Thank's

Stringer is not part of base R. It has to be loaded for example with tidyverse.

What comes after that? How do you actually choose a model and do inference?

Thanks so much for the awesome video! ❤❤

Where can i get the data?

what's the point? you're just importing everything you need

Hello , where can I find the dataset?

why did you not standardize the data?

Exactly what I was looking for - thanks a lot!

Nice video👍

LEZZGOO

FUNNY AND EDUCATIONAL!!

Excellent teacher! I love it

Thank u very much for your guidance and support for the same.

you are the goaaaat omg

If you check out Gradient Boosting Machines by StatQuest with Josh Starmer, part 2 of that 4 video series does a deep dive into the math behind it for regression (part 3 is the math details for gbm classification)

great video i have been loooking for altair whole time but didn't find one. but you explain it in extreamly easy way i apppreciate it.

how can I export it as a gif

thank you Derek.

good presentation

whats the accuracy statistic?

very usefull, thanks!

How to cal the percentage

A lot of chanels are saying the same thing (though good guidance) but you're the first chanel I've actually seen what to do. Thank you 😊

thanks mate!

your video really helpful, sir. thank u so much

Thanks alot! Really helped me out :)

nice video bro

nice video🤪🥰😍🤩

Thank you for this video! Is there a way to find out which of the predictors impact the dependent variable so that one can know what variables to improve to get better outcome (e. g., customer satisfaction).

Great video, really helped with my understanding. Just want to point out that in row 2 the item total should be 6, not 5 and the percentage should be 30%, not 35%.

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 very much