Machine Learning using SAS Procedures | SAS Viya Workbench Quick Start Tutorial скачать в хорошем качестве

Machine Learning using SAS Procedures | SAS Viya Workbench Quick Start Tutorial

This tutorial is designed for SAS programmers who want to build and evaluate machine learning models in SAS Viya Workbench using optimized SAS Procedures. You explore basic data preprocessing tasks required for machine learning and then build linear and nonlinear machine learning models to predict a binary target. In addition to best practices, you learn how to compare and evaluate model performance to select a champion model. Download the data The SAS Viya Workbench Quick Start Repository provides access to the notebook used in this demonstration – https://github.com/sascommunities/sas... Chapters 00:00 – Introduction 00:45 – Upload the data 04:53 – Explore the data 06:59 – Partition the data 10:17 – Impute missing values 15:06 – Select useful inputs 19:37 – Logistic regression 23:28 – Decision tree 27:04 – Random forest 29:04 – Gradient Boosting 30:13 – Support Vector Machine 33:03 – Score the models 35:21 – Assess the models 42:53 – Deploy the models 43:38 – Summary Additional Resources ◉ SAS Viya Workbench – https://www.sas.com/en_us/software/vi... ◉ SAS Viya Workbench Documentation – https://go.documentation.sas.com/doc/... ◉ SAS Learning Subscription – https://www.sas.com/en_us/training/pr... 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