Ensembling, Blending & Stacking

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In this tutorial, you will learn how to create #Ensemble models. We will talk about #Blending and #Stacking.

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If you want more stable coefficients when finding the best weights for blending, please use a different initialization.

abhishekkrthakur
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Glad ...to see this sort of contents ...Believe it or not these channel is going to be the best in ML, DL and AI ..
Some thing equivalent to an University ...

MrAnandml
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Really all your contents are awesome, your books, videos all r much more than an university .Please keep sharing

aditya_
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I have bought and gone through your book. It is just excellent...I would say it is ultimate... Thanks...

nirmaltiwari
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You're a true Grandmaster.😅😅 it's not easy to skip your lessons

allieubisse
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Also please make a video on feature selection on tabular data....
Please abhishek sir🙏🙏🙏🙏🙏

mnoossum
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Wow, what I needed, thanks for the helpful tutorial

samtasticcreations
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absolutely best timing on your videos thanks !!!

mishrasidharth
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This is one of the most comprehensive tutorial on blending and stacking very amazing work from your side
I have a query if i have a multi class targets with probabilities how will i compare the accuracy ??

floopybits
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I pre-booked the Kindle version India. The book is so lucid to understand. I really appreciate the efforts in the write-up and the knowledge that's been provided in the book. Honestly learned alot.

razintailor
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The next video on reinforcement learning? you can use the Halite competition in kaggle to make us understand

mrigankanath
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Amazing video Abhishek. You keep emphasizing on the importance of cross validation setup so how do u go decide the correct cross validation setup for a given problem?

vinaytiwari
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I wonder why two dislikes, you guy's can comment what is missing so that Abhishek Thakur will respond to you and we all can benifit from this. My suggestion in future if you are dislike please comment why and what is missing from Abhishek. Look below he is patiantly answering most of the comments to his best. Personally I learned a lot but need more hands-on to get this skill. A special thanks Abhishek Thakur for serving in this manner. You are my motivation to deliver content for free.

venkataramanamaram
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You are doing linear blending; however, your optimized weights are not adding up to 1. Do you think this is a problem?

darkjediist
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That was a fantastic video GrandMaster! 😁👍

vivekchowdhury
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much-awaited video ! thank you so much sir

AyushGupta-kpxf
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Why can't I like this video more than once? It's unfair!!

sajalhsn
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Hi Abhishek. I know that I'm late but can I use optuna to find optimate weights for ensembling? After all, it's just a function that needs to be optimized right? Won't optuna work well?

viveksrinivasan
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While creating new features using existing features, which features to consider (features with low correlation with target) or can I use features which have high correlation with target to create new features. Or both ?

Pratapsingh-ngpr
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Really cool video as always Abhishek!
I actually meant to ask you how did you setup this code server that you are working on?
I recently built a workstation PC for data science stuff, but I do not want be "immobile" because it's a PC. How can I replicate this setup which you use (without using Remote Desktop)?
Any resources or links would be super helpful. Thanks :)

manabendrarout