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Use xgboost and effect encodings to model tornadoes 

Julia Silge
Подписаться 15 тыс.
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28 авг 2024

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Комментарии : 14   
@olexiypukhov-KT
@olexiypukhov-KT Год назад
Another Julia Silge video and it hasn't even been a month since the last one! This must be Christmas. Thanks again!
@zapbesttowatch2660
@zapbesttowatch2660 6 месяцев назад
good explanation
@xxXXCarbon6XXxx
@xxXXCarbon6XXxx Год назад
I didn't see a Sharknado in your model. Perhaps your data set was incomplete?
@JuliaSilge
@JuliaSilge Год назад
😆
@avnavcgm
@avnavcgm Год назад
Great video as always! A semi-related problem I had recently was having to convert a really traditional ecologist written model of animal sightings that was poisson GLM based and had random effects of site id to xgboost, so more of these advanced xgboost topics might be an idea for future videos!
@AngelFelizF
@AngelFelizF Год назад
Great video, thanks
@user-ld6rv4gu2t
@user-ld6rv4gu2t Год назад
Great, thank you so much
@raminziaei6411
@raminziaei6411 Год назад
Great video Julia! Could you also make a video on nested cross validation and explain how and when to use them? Thanks.
@forheuristiclifeksh7836
@forheuristiclifeksh7836 7 месяцев назад
0:08
@angvl8793
@angvl8793 Год назад
❤❤❤
@kevingiang
@kevingiang 3 месяца назад
Hi @JuliaSilge - thanks for your wonderful and helpful videos. I am trying to replicate your code with my own dataset and I am getting the following error when trying to initiate the tuning of the model: > xgb_rs
@JuliaSilge
@JuliaSilge 3 месяца назад
It's the xgboost package that needs to be installed: CRAN.R-project.org/package=xgboost
@kevingiang
@kevingiang 3 месяца назад
@@JuliaSilge I just figured it out... thanks much for answering back! You rock!
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