Gradient Boosting Algorithms Indepth Intuition- Krish Naik Hindi

[@RUPESHRAI-z3v]

Super sir Explanation is nice

[@AnjumRouf]

Make video for xgboost,catboost and lightgbm

[@Tech_Enthusiasts_Shubham]

sir please start a crash course on machine algorithms crash course for this channel sir your videos are really helpful and beneficial for me

[@nishchalbasyal]

Waiting More...

[@visitcmmubeenyt5087]

Sir pls statistics ki playlist puri kr dain, ap nay kaha tha us men minimum 30 videos ayen ge but us men just 16 videos hn.

[@yashgupta-rs9ro]

Waiting for more videos

[@rohitrohit6883]

sir please help me to find out your notes or study material that you have taught in the videos

[@mohitbhatia_ai_and_ds]

sir please upload further video lectures.🙏🙏🙏

[@sabbiruddinakash7181]

Thanks sir

[@sachinsoni5044]

XGBoost?

[@zakriaansari7203]

I am following your data science Hindi playlists as my roadmap, do I need to go over your English playlists too? because they contain more material as compared to Hindi playlists.

[@krishnaikhindi]

Yes please

[@AceStories007]

Sir maja aagya

[@AKSinghPalmistryIITian]

Bhaiya is IIT MADRAS BS in data science and its application degree good?

[@vishwajeetpatel3872]

why did we decided the value of learning rate at 0.01 and not any other value?

[@HarshPatel-iy5qe]

You can select any but usually experts selects small number like 0.01 or when we do hyper parameter tuning we can select multiple like 0.001 or 0.1

[@vinayakbelagur2334]

What will be base model (step 1) for Gradient Boosting classification model.

[@sanskarsahu9086]

I think base model will provide threshold value of the classification curve

[@UmerFarooq-zv1ky]

Mean of the output column

[@pkumar0212]

👌

[@sachinsoni5044]

Is this ML playlist completed?

[@hritikroshanmishra3630]

Same question?

[@faisalsal1]

Very bad tutorial. I don't think the way you calculating Y-hat is correct.

[@likithb3726]

yess i too think the same , As according to sir the prediction by model 2 were the original values but it should be the errors and r3 should be trained over the errors made over model2 ,

[@sandipdeb6550]

Sir Explanation