Ensemble Learning in Telugu || Machine Learning in Telugu || Nerchuko

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In this video, we are discussing the theory of ensemble learning in Telugu.
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[@misspriya3227]

Aaa bayya....Hard voting daigram ni nuv stacking annav chudu I love u bro 💞💞💞

[@Nerchukoml]

Thanks for highlighting. Hard voting and soft voting should come under bagging. For stacking, we use some classifier/regression by considering inputs as output from various base models.
Btw, love you too😊

[@misspriya3227]

But brooo Hard voting and Soft voting not comes under bagging it comes under votting. you must remember it, And Stacking is a different paradigm. The point of stacking is to explore a space of different models for the same problem. So,the idea is that you can attack a learning problem with different types of models which are capable to learn some part of the problem, but not the whole space of the problem. So, you can build multiple different learners and you use them to build an intermediate prediction, one prediction for each learned model. Then you add a new model which learns from the intermediate predictions the same target.

[@Nerchukoml]

The reason for saying Hard voting and soft voting comes under bagging, once we have ouputs from model trained on different subsets of data, the only way of having final pred is either voting (classification) or averaging (regression). So I want to say those topics should come immediately after the bagging explanation.

[@babithatalari]

It's the most precise and to the point information.👏👏tq sir

[@Haritejaabroad]

Thanks for the detailed information.

[@kakumanigayatri5701]

Please tell me Where can I find the content present in this ppt. It will be helpful for us.

[@RameshKumar-yk4kl]

8:30 we actually combine several weak learners bro, not strong learners....

[@renu1676]

Good explaining ...but the channel name🤣🤣🤣🤣🤣

[@jindevamshi6945]

Tq u 😄👍

[@SuperTherock12345]

good explanation
please give the sample code or github link for the code

[@user-tw8rq6nf1w]

Is it is usefull tamil student👩‍🎓

[@anar07nichani37]

can we get this ppt pls?

[@gouseshaik1869]

Can You please provide material

[@madhavareddy9172]

can you please do deployement models too

[@Nerchukoml]

I will do

[@samahanumantharao5432]

how can i join the this course

[@Nerchukoml]

All videos for ML are available in our Channel for free. You can follow the playlist