Machine Learning | Ridge Regression

Ridge regression is a way to create a parsimonious model when the number of predictor variables in a set exceeds the number of observations, or when a data set has multicollinearity (correlations between predictor variables). #MachineLearning #RidgeRegression #L2Regularization
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[@RanjiRaj18]

For notes👉 github.com/ranjiGT/ML-latex-amendments

[@gamingKlips99]

Really underrated channel.
Loved ur videos🙂

[@prateekcaire4193]

Thanks. a couple of questions. 1. why do we need beta0 and beta1 within the circle of radius a? My guess is that it's to reduce the variance. 2. the whole premise of regression is to regularize the parameters within the bound of the circle of radius a. However, in ridge regression, the penalty of a is totally ignored with only m^2 in the picture.

[@paryalaghaee9025]

Thanks

[@muhammadmahfujurrahmansifa1413]

tnx sir

[@priyabratbishwal8118]

really awesome , this is what i was searching for derivation. One doubt is why did you ignore the y-intercept and c at 12:55 . ??

[@AMVSAGOs]

still, I have some doubts. can you please tell us? some resources to learn it from the base.

[@kylmaz5782]

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.

[@fatmahm5787]

Thank you for you explain it was wonderful. I have a question how can i use the Ridge regression in matlab ? And if i have my input and output how will I use them in the code of ridge regression and what it will be the coefficient in ridge regression ? Please help me i can’t figure it out

[@ShubhamSingh-cw5pd]

Is there any book that you can suggest that talks about the maths of machine learning and deep learning?

[@himanshusingh-bh5kh]

Sir Can You Visually Show How Lambda Is Bring Coefficient Scale Down After each and every iteration ?

[@srikanththogari5983]

If it possible can u please explain algorithms with python or R code?

[@RanjiRaj18]

I'll try to get that done as soon

[@srikanththogari5983]

@@RanjiRaj18 thanks bro