SAS Tutorial | Gradient Boosting Explained

[@asthajain497]

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]

So glad you enjoyed it, Astha!

[@ge_song5]

Finally, I understood Gradient Boosting.

[@SASUsers]

Awesome! Glad you found this tutorial helpful!

[@manideepgupta2433]

Excellent explanation! Please do make more videos as they are really really helpful!

[@kalipramod9101]

Thank you for the great video with explanation of boosting and bagging in simplest way, you have nailed it.

[@SASUsers]

We appreciate your feedback and thanks for sharing!

[@ajaykushwaha-je6mw]

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]

Ajay, thank you so much for the feedback!

[@dianamarica7429]

Great tutorial, thank you!

[@SASUsers]

Awesome! Thank you for your feedback!

[@SASUsers]

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.

[@nz_proud]

Excellent video. Thanks.

[@SASUsers]

Awesome, thank you for the feedback!

[@vyacheslavefimov5102]

Thank you for amazing content!

[@SASUsers]

Vyacheslav, thank you so much for the feedback!

[@tommyarmstrong7673]

So cool Christa! Nice work :)

[@Shady9]

awesome explanation, thanks a lot.

[@SASUsers]

You are welcome!

[@gun645]

thanks 😊

[@chrisb.o.agalaph.d.1916]

Nicely done. How can I do this with SAS 9 not SAS Viya Model Studio?

[@SASUsers]

Great question! Stay tuned, we'll have an answer for you shortly...

[@SASUsers]

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]

@@SASUsers Thanks so much. This is great!! Will try it out and see how it goes. Will get back!

[@SASUsers]

You're very welcome, Chris, and that sounds great - wishing you success!

[@Rahul_ABCD]

Hello Ma'am .... Is there any video on AdaBoost?

[@SASUsers]

Thank you for your inquiry! We are trying to research this for you!

[@SASUsers]

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]

Base SAS training Day 1 kzbin.info/www/bejne/oaeWXqWlr7dji5Y

[@MasterofPlay7]

lol i used python, this is so easy in SAS. Is this EM?

[@SASUsers]

This paper may be helpful: 2.sas.com/6053GO7tx

[@moviecric1647]

Base SAS training Day 1 kzbin.info/www/bejne/oaeWXqWlr7dji5Y

[@algorithmicallypuzzled1003]

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!

[@ragaistanto6722]

Terimakasih... Untuk teman" lainya saya juga ada nih video tutorial cara koding SVR, SVM, LR, RF, GB, dan XGB di python siapa tau cocok. kzbin.info/www/bejne/o2m9hquJrrWqrsU