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perfect explanation

Very good

excellent Atul

Good sir ❤❤❤❤

sir i went to contact with you please share you contact

Thanks for sharing this knowledge!

cleanest explanation ever 👍

Very helpful.

Very Helpful video. Thank you Atul.

Hello Atul, I have one doubt. While doing linear regression, how can we check the linearity between independent variable and dependent variable if our independent variable is categorical? There will be both continuous and categorical data while creating the model.

You're amazing! Thanks for the material

one of the useful video watched in the 2024

Excellent explanation!

Thanks

Excellent I am searching a long time for practical use of statistics test in model creation, I got answer from you.. gratitude to you..

Can I use oversampling or undersampling techniques before Splitting the dataset into training and testing ?

this is a very helpful video, I must admit. Nice work. I'd love to ask though, what do we do with the NaN gotten after using the groupby function? I mean, how can we replace it with a reasonable value afterwards?

after removing one column(Columns A) to reduce multicollinearity, the other columns(Education, Rating) VIF has Increased, may i know the reason and solution for this ?

thanks

Well explained

Good job brother. Basic topics are necessary. ♥️

Thku so much sir

thanks sir simple english and easy to understand

Thats just an amazing work and great effort m8!!!

Thanks for sharing this ! :)

Sir why did u stop making the Series of this domain , please continue as only your channel show end to end explanation of each step to be implement in real world scenario

Hindi me bola kar

How did you make the output variable? I mean how did u found the deafult attribute?

great information, thanks a lot!

How can I contact with you

Thanks

Very simple briefings, really helpful strategy. Thanks a lot.

This video was very informative, but I think you may be selling viewers short by not splitting your dataset into a test/train set at the start prior to learning the p-values and parameters of the f-test. If this were to be done, this would ensure there is no data leakage from this preprocessing step. There is no guarantee this is an effective method if it doesn't generalize to a holdout set that was preprocessed using parameters learned from only the training set. Also did you check the data satisfies the assumption of the F-test?

can mutual information be processed using rapidminer? and naiv bayes

you deserve thousands of likes 👍❤

how is 'A' 0.5 when 7 was divided by 20 or did I miss anything??

Thank you great knowledge

Thank you for the great explanations.

superb explanation

why are u doing before test train split

Sir, how to calculate the f(x) in PDF i.e the Y-axis values??

Excellent video, thanks

I don’t know how this is not famous…it is absolute best

Thank you sir

Great video

i liked the explanation brother detailed explanation. i have a doubt i hope you enlighten me on this . if i have a regression problem and the inputs are categorical , how should i select the best features . regression problem and categorical variables .

thank you sir!

nice👍

Thank you so much for consolidating all the information together!!

Million times thanks!