CART Regression Trees Algorithm - Excel part 1

CART, Classification and Regression Trees is a family of Supervised Machine Learning Algorithms.

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[padakoo]

Thank you for such clear explanation. Google should be showing this as first result when someone looks for Decision Trees - Regression.

[alexmauriciorodriguez]

Man, this Is so clear, hi from Colombia, I shared this videos to my students I just hope they whatch them.

[Suigeneris]

Wonderful video! Makes things so clear!

[leichu]

great explanation.wonderful. thank you

[galitzhak]

Thanks, very clear and easy to understand

[sajantonge]

Thank You, this was just too clear that I had to bookmark it ;)

[sedzinfo]

Thank you very much this is very informative.

[ma.ineslacson]

very good video, the audio is excellent, and the video is indeed awesome. keep up the good work. do you have any video similar to this, but the focus is on classification? i hope you have. God bless

[andyrogish]

How important is normality to your example, and to CART at large?

[Fred-F]

you need to proportionally add sum of squared residuals (or variance) not the standard deviation of the leafs.

[pkittali]

Question: If one predictor variable is Continuous, how is it evaluated against the Categorical? Is Categorical chosen over Continuous?

[Skandawin]

The individual weighted sd is the impurity and the difference from the SD(s) is the gini gain?

[ckeong]

great video. It would be great if you could show us another split from the child node that you gained. Thanks

[flamboyantperson]

Hi, why Excel? I have been waiting for your new videos on R. Please do machine learning, deep learning, neural network in R. Thank you so much

[mimalife]

Svp la partie finale de cet algorithme, the last part for this algorithm

[gurubuxgill]

Thanks for the explanation
Question : Can we use the P-value to choose the most prominent among all predictors ?

[maitripatel]

your video is too much irritating and doesn't at all clear the concept .