ElasticNet Regression Machine Learning Algorithm Explained In Hindi

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Video pasand aaya ho? Really?
It's really a synonym of perfection.
Like I'm from a Non-IT background and you made it so easy and understandable I could ever imagine. Thank you so much for your efforts guruji 🙏

addigaur
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dear krish
you are considered as an international source for AI and data science and your followers are from all over the world.
you excluded a wide slice of your followers in this video.

All respect

khalidal-reemi
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Good job 👍 bro...
Hum jaise lower English walo ke ye channel bahut sahi hai ❤

vivekjuwar
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Bahot bhadiyan sir, is playlist ko aisa banaiye ki aaj theory Kal practical.

ajaykushwaha
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Nice explanation...but where can I find the practical implementation video of this algorithm??

DharmendraKumar-DS
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Hi Krish,
In lasso video we did
1)reduce overfitting and
2)perform feature selection
and in elastic net we are doing the same then why elastic net?

guptayash
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campusx is indepth and more detailed but this is also fine.

Nimbusk_rider
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Hi Krish, well explained. Thank you for making the concepts easy to catch-up.
I have 2 doubts in i.e.,
1. You explained the slope with correlation and is reduced to 0. How? If I'm not wrong, |slope| will result always a positive value, For eg. |-1| = |1| =1.
2. You explained in LASSO, we do this because to reduce overfitting and for feature selection. And for same reason we do elastic net too. Then what is the need of Elastic Net, it will only complex the thing and as well as take more computational power.

Hope you will clear my doubts.

bdw thanks for such a video.

amitoshacharya
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Hi Krish, I think the cost function would be 1/2m(summation from i=1 to m), where m is the batch size, and for the ridge and lasso term it would be summation from i=1 to n, where n corresponds to the number of features in the dataset. Could you please confirm it ?

arpanbiswas
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sir ap na es ma mean squred error function use kea ha or us ko 2 sa divide be kea ha start ma jab kh 2 sa divide to squared error function ma krta hn ma es waja sa confuse hn kindly explain ke dan answer ma

M.HuzaifaManzoor
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You have Written Wrong Formula of Cost function It should be (y hat - y ) square

sunriseentertainment
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Hi! Krish, may I know when you will implement these algorithms using Python which you have discussed in this ML Playlist?

pranabsarma
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