Stacking Explained for Beginners - Ensemble Learning

[@linabou1]

Great explanation, thank you!

[@rahiiqbal1294]

Very helpful video, thank you :)

[@tosinadekunle646]

Thank you very much sir

[@shataj4075]

Hello.. your explanation of single level stacking from 7:00 to 12:00 seems to be wrong

[@ocamlmail]

Very cool, thank you!

[@Formula3F]

thank you so much for great explaination

[@AISciencesLearn]

Glad it was helpful!

[@AISciencesLearn]

Thank you for watching this video. Leave us comments on the tutorials that you wish to have soon on our channel.
We will try to provide them very soon to help you learn more about Data Science.

[@GIgarrum]

Amazing explanation!!!

[@gurrierpl]

Can you use logistic regression both as a base model and as a combiner? I have a model where logistic regression is by far the best performer so I kind of need it to be included in the base

[@AISciencesLearn]

Yes, you can use logistic regression both as a base model and as a combiner in certain ensemble methods.

[@sanjoy1511]

Nice explanation

[@shobhitsadwal756]

sanjoy sun

[@siddharthvm8262]

Good job 👍

[@AISciencesLearn]

Thanks for your support🙂

[@TheReapification]

N features, not d, as said in the video

[@AISciencesLearn]

Thanks a lot. yes its n features not d.

[@rouzbehamirazodi3001]

You keep forgetting to talk about target variable. You keep saying feature set without talking about target variable at each step in your visual examples. You know for supervised learning we cant train a model on features without having a target variable.

[@AISciencesLearn]

Thanks for telling. Really appreciated. We will cover this.