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In this SAS How To Tutorial, Christa Cody shows how to create machine learning models using SAS Viya. First, you will be shown a coding example in SAS of supervised learning in SAS Studio which is great for those who are familiar with SAS programming. She will then create the same model using Model Studio machine learning pipelines. Christa’s approach may be more useful for someone not interested in programming the model themselves, but who still wants to have control over hyperparameters. After watching this video and see the coding examples, you will have a better understanding of how to build machine learning models in SAS. If you are interested Machine Learning Fundamentals or why Christa is doing certain machine learning tasks, check out this SAS Tutorial | Machine Learning Fundamentals video ( • SAS Tutorial | Machine Learning Fundamentals ). Download Data Files Download the HMEQ data set that Christa uses http://support.sas.com/documentation/... Chapters 00:00 – Welcome 00:40 – Example: Supervised Learning in SAS Studio Setting variables Load the data Explore missing values Partition data Impute values Identify variables that explain variance Build predictive model using random forest Score the model Access the model using Lift and ROC information Analyze the model 12:55 – Example: Model Studio Machine Learning Pipelines Create new project and import data Data tab Pipelines tab Run pipeline Imputation results Add Random Forest Autotune Feature View results Assessment tab with ROC and Lift plots Learn more about SAS Software ◉ Blog: Learn more about Christa and machine learning – https://blogs.sas.com/content/sgf/201... ◉ How-to tutorial: Machine Learning Fundamentals – • SAS Tutorial | Machine Learning Fundamentals ◉ Book: Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners – https://www.sas.com/store/books/categ... SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS 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