Regression - 12: Backward Elimination method to build Multiple linear regression model

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This video teaches us to use backward elimination method in python to create an optimal multiple linear regression model.

All the scripts and datasets for each part can be downloaded from my github account:-
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A life saver! I was looking everywhere on how to do this, good thing I found your video. Keep up the good content!

Cheers

giovannipizzato
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Excellent example. Well explained. Thank you for uploading these, Akash

javiermarti_author
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Great Video Akash, how to do backward elimination for a logistic regression.

shhivram
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Bhai ab hm aage kse predict kre?? Mtlb hmne y_pred nikala fir backward elimination nikala ab hmme x_opt hai pr predict kse kre profit os se

ManpreetSingh-ewqs
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Dear Ad, How to run Backward Elimination in stata, pls help me!

nmtrang
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how you have got significance level value 0.05?

vikshukla
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I think you first need to replace 0 value in the dataset

well....