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This SAS Quick Start tutorial shows you how to train and deploy machine learning models using Model Studio pipelines. You learn how to define data properties, use basic and advanced pipeline templates, and include models written in Python in a model tournament. Video Outline 0:00 – Introduction 0:43 – Creating a pipeline to compare models 3:31 – Automatically generate an optimal model 4:22 – Creating a pipeline that Includes a model written in Python 6:12 – Comparing multiple model pipelines 6:57 – Registering a model in SAS Model Manager 7:21 – Summary Additional Resources ◉ SAS Model Studio Learn & Support – https://support.sas.com/en/software/m... ◉ Course: Machine Learning Using SAS Viya – https://learn.sas.com/course/view.php... ◉ Course: Forecasting Using Model Studio in SAS Viya – https://learn.sas.com/course/view.php... ◉ SAS Visual Text Analytics in SAS Viya – https://learn.sas.com/course/view.php... SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS #SASViya https://www.youtube.com/SASUsers?sub_... ABOUT SAS SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change. CONNECT WITH SAS SAS ► https://www.sas.com SAS Customer Support ► https://support.sas.com SAS Communities ► https://communities.sas.com SAS Analytics Explorers ► https://explorers.sas.com Facebook ► / sassoftware Twitter ► / sassoftware LinkedIn ► / sas Blogs ► https://blogs.sas.com RSS ► https://www.sas.com/rss