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Effective predictive modeling projects follow the Analytics Life Cycle, from Data to Discovery and then Deployment and Decisions. SAS Viya provides the capability to perform all these steps from one graphical user interface, making the transition between stages of the Analytics Life Cycle seamless. Watch as Andy loads data into memory, prepares input variables for modeling, and builds complex analytics pipelines to demonstrate powerful machine learning models. Need to integrate open source models? No problem. He’ll show you how you to do that and deploy any model with one click. Then the best-performing model is saved and packaged for deployment -- all from the same shared interface. Content Outline 00:00 – Intro to Analytics Life Cycle 00:57 – An overview of Model Studio 02:37 – Building an End-to-End Model demo 07:58 – Building a pipeline demo 10:13 – Adding a neural network to the pipeline 15:58 – Andy’s trick for coding in Python 23:48 – Model Comparison results chart 26:32 – Adding a challenger model 28:18 – How to deploy one or more models Additional resources Resource Hub for Data Professionals – https://www.sas.com/sas/offers/resour... Learn more about SAS Software Free SAS Online Training – https://www.sas.com/en_us/training/of... Contact SAS® – https://www.sas.com/en_us/contact.geo... SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS #SASGF 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/contact 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