Stacking Explained for Beginners - Ensemble Learning

[@shataj4075]

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

[@linabou1]

Great explanation, thank you!

[@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.

[@rahiiqbal1294]

Very helpful video, thank you :)

[@tosinadekunle646]

Thank you very much sir

[@Formula3F]

thank you so much for great explaination

[@AISciencesLearn]

Glad it was helpful!

[@ocamlmail]

Very cool, thank you!

[@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.

[@GIgarrum]

Amazing explanation!!!

[@TheReapification]

N features, not d, as said in the video

[@AISciencesLearn]

Thanks a lot. yes its n features not d.

[@siddharthvm8262]

Good job 👍

[@AISciencesLearn]

Thanks for your support🙂

[@sanjoy1511]

Nice explanation

[@shobhitsadwal756]

sanjoy sun

[@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.