Thank you for this! Your explanation about the very basic way in which bagging and boosting works is so wonderful, I did not find this in any other video!
@SASUsers
3 жыл бұрын
So glad you enjoyed it, Astha!
@ge_song5
Жыл бұрын
Finally, I understood Gradient Boosting.
@SASUsers
Жыл бұрын
Awesome! Glad you found this tutorial helpful!
@manideepgupta2433
4 жыл бұрын
Excellent explanation! Please do make more videos as they are really really helpful!
@kalipramod9101
4 жыл бұрын
Thank you for the great video with explanation of boosting and bagging in simplest way, you have nailed it.
@SASUsers
4 жыл бұрын
We appreciate your feedback and thanks for sharing!
@ajaykushwaha-je6mw
4 жыл бұрын
Hi Crista, Thank you so much for this video. To understand Gradient Boosting I went through various video but your video gave me proper and required knowledge. You went slow and that helped us to understand in best possible way. Thank you so much and keep posting lecture on ML.
@SASUsers
4 жыл бұрын
Ajay, thank you so much for the feedback!
@dianamarica7429
Жыл бұрын
Great tutorial, thank you!
@SASUsers
Жыл бұрын
Awesome! Thank you for your feedback!
@SASUsers
Жыл бұрын
Diana, there are several options for taking your trained models and displaying information about them in a Visual Analytics dashboard. I’ll suggest two of the most likely scenarios. First, you can directly add your model as an object in your dashboard. The advantage of that is as the data updates, the model will update automatically as well. Secondly, you may wish to Derive Predicted values (or probabilities) from the model and then combine those with inputs (effects) in a dashboard. I show you how to do this in the first lesson of our SAS® Visual Statistics in SAS® Viya®: Interactive Model Building course.
@duanewaihi4453
3 жыл бұрын
Excellent video. Thanks.
@SASUsers
3 жыл бұрын
Awesome, thank you for the feedback!
@tommyarmstrong7673
4 жыл бұрын
So cool Christa! Nice work :)
@vyacheslavefimov5102
3 жыл бұрын
Thank you for amazing content!
@SASUsers
3 жыл бұрын
Vyacheslav, thank you so much for the feedback!
@Shady9
3 жыл бұрын
awesome explanation, thanks a lot.
@SASUsers
3 жыл бұрын
You are welcome!
@chrisb.o.agalaph.d.1916
Жыл бұрын
Nicely done. How can I do this with SAS 9 not SAS Viya Model Studio?
@SASUsers
Жыл бұрын
Great question! Stay tuned, we'll have an answer for you shortly...
@SASUsers
Жыл бұрын
Behind every node, Model Studio uses procedures to execute the task- you can see this in action in the node’s results where it displays the code for training and scoring. For the Gradient Boosting node, the procedure is ‘proc GRADBOOST’. Here is the documentation for proc GRADBOOST: SAS Help Center: Getting Started: GRADBOOST Procedure 2.sas.com/6054MQKsG
@chrisb.o.agalaph.d.1916
Жыл бұрын
@@SASUsers Thanks so much. This is great!! Will try it out and see how it goes. Will get back!
@SASUsers
Жыл бұрын
You're very welcome, Chris, and that sounds great - wishing you success!
@gun645
3 жыл бұрын
thanks 😊
@Rahul_ABCD
4 жыл бұрын
Hello Ma'am .... Is there any video on AdaBoost?
@SASUsers
4 жыл бұрын
Thank you for your inquiry! We are trying to research this for you!
@SASUsers
4 жыл бұрын
In this video at time stamp, 5:16, the narrator mentions ADABOOST and how it differs from gradient boosting. We do not have any videos that address ADABOOST specifically. However, this user group paper: 2.sas.com/60501sTDw discusses using ADABOOST.
@moviecric1647
4 жыл бұрын
Base SAS training Day 1 kzitem.info/news/bejne/zKxpk6als4RhiGk
@MasterofPlay7
4 жыл бұрын
lol i used python, this is so easy in SAS. Is this EM?
@SASUsers
4 жыл бұрын
This paper may be helpful: 2.sas.com/6053GO7tx
@algorithmicallypuzzled1003
3 жыл бұрын
And then you over train and the kid starts looking into how many definitions of continent there are, and you are back to random answers!
@moviecric1647
4 жыл бұрын
Base SAS training Day 1 kzitem.info/news/bejne/zKxpk6als4RhiGk
@ragaistanto6722
4 жыл бұрын
Terimakasih... Untuk teman" lainya saya juga ada nih video tutorial cara koding SVR, SVM, LR, RF, GB, dan XGB di python siapa tau cocok. kzitem.info/news/bejne/zm6Qu6yJsoKoq5g
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