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| Name | SAS Tutorial | Python Integration with SAS Viya |
| Video Uploader | Video From SAS Users |
| Upload Date | This Video Uploaded At 14-10-2019 18:00:00 |
| Video Discription | In this SAS How To Tutorial, Ari Zitin explores several examples of Python integration with SAS. There are many SAS Viya Cloud Analytic Services (CAS) that can be submitted from Python. In this Python integration demo, Ari focuses on predictive modeling. He shows how to connect to CAS, access in-memory data, bring data locally to use Pandas, and prepare data for predictive modeling. Ari then steps through how to build, score and assess a Decision Tree model. Finally, he takes a look at how he would go about creating additional predictive models such as a Random Forest model and a Gradient Boosting model to determine the best model type for prediction. Throughout this video, Ari is showing how to use Python to send commands and controls to the SAS Viya server. Ari’s examples are organized using Jupyter Notebook running on the Anaconda distribution of Python. Download data files – Use SAS to fetch the Titanic data Ari references. Get the code on GitHub –https://github.com/sascommunities/sas-howto-tutorials/blob/master/machinelearning/get-titanic-data.sas Chapters 00:00 – Welcome 01:14 – Useful Python Packages: SWAT and pandas 02:15 – Connecting to CAS and Accessing In-memory Data 07:21 – Bring Data Locally to use Pandas 11:48 – Handling Missing Values 13:20 – Preparing for Predictive Modeling 15:20 – Building a Decision Tree Model 17:20 – Scoring and Assessing the Decision Tree Model 19:15 – Analyzing Results Locally 23:02 – Building other Models - Random Forest Model and Gradient Boosting Model 29:55 – More CAS Actions that can be Submitted from Python Related Content ◉ SAS Books: SAS® Viya®: The Python Perspective – https://www.sas.com/store/books/categories/getting-started/sas-viya-the-python-perspective/prodBK_69194_en.html ◉ Ask the Expert On-Demand webinars: SAS® Viya®: Working with APIs - https://www.sas.com/en_us/webinars/ate-viya-workng-with-api.html ◉ Administering SAS Viya? Here are tools to use when working with Python. – https://github.com/sassoftware/pyviyatools ◉ Managing models with SAS and Python? Check out this toolset on GitHub. – https://github.com/sassoftware/python-sasctl Learn more about SAS Software ◉ Ask the Expert On-Demand Webinar: How Do I Get Started with SAS Visual Data Mining and Machine Learning? – https://www.sas.com/en_us/webinars/get-started-visual-data-mining-machine-learning.html?utm_source=youtube&utm_medium=paid-social&utm_campaign=non-cbo-us ◉ Learn SAS – https://www.sas.com/en_us/learn.html ◉ Free Tutorial – https://video.sas.com/detail/video/5483761790001/integrating-python-code-into-sas%C2%AE-enterprise-miner%E2%84%A2?autoStart=true&q=Python%20Integration ◉ Using SAS® Viya® REST APIs with Python and R e-Learning course – https://support.sas.com/edu/schedules.html?id=16042&ctry=US SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS https://www.youtube.com/SASUsers?sub_confirmation=1 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 ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss [6cDU6JGEYSo] |
| Category | Science & Technology |
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