Understanding XGBoost From A to Z!

[@storage_bank]

I will use your videos as interview refresher....... It is so easy to forget about the details when everyday work floods in for a period of years.

[@TheMLTechLead]

I am glad to read that!

[@alexanderkozlov2539]

Great intro into XGBoost theory! Not been new to the subject, in the past I used the official docs when I needed to refresh my knowledge. Will be using your video now, thank you Damien!

[@ChengchengCai-v9k]

good videos! How to get the slides?

[@milleniumsalman1984]

great video

[@siddharthvj1]

so far the best teacher .....if possible I would love to join you ...

[@TheMLTechLead]

If I need somebody, I know where to look!

[@milleniumsalman1984]

too good

[@astudent8885]

ML is a black box but boosting seems to be more interpretable (potentially) if we can make the trees more sparse and orthogonal

[@TheMLTechLead]

Tree-based method can naturally be used to measure Shapley values without approximation: shap.readthedocs.io/en/latest/tabular_examples.html