SAS® Viya® and Python Integration for Machine Learning
In this course, you learn to use the Python API to take control of SAS Cloud Analytic Services (CAS) actions from Jupyter Notebook. You learn to upload data into the in-memory distributed environment, analyze data, and create predictive models in CAS using familiar Python functionality via the SWAT (SAS Wrapper for Analytics Transfer) package. You then learn to download results to the client and use native Python syntax to compare models.Learn how to
Who should attendPython users who want to take advantage of SAS Viya distributed analytics for fast and efficient modeling
Before taking this class, you should have experience writing Python programs for data analytics. There are no SAS prerequisites.
This course addresses SAS Viya, SAS Visual Data Mining and Machine Learning software.
SAS Viya and Open Source Integration
|Dates||Location||Time||Language||Fee||Add to Cart|
|06-07 MAY 2019||Live Web||09:00 AM-12:30 PM EDT||English||800 USD / 1.6 EPTO|
|22 MAY 2019||Cary, NC||09:00 AM-05:00 PM EDT||English||800 USD / 1.6 EPTO|
|16 JUL 2019||San Francisco, CA||09:00 AM-05:00 PM PDT||English||800 USD / 1.6 EPTO|
|06 AUG 2019||New York, NY||09:00 AM-05:00 PM EDT||English||800 USD / 1.6 EPTO|
|07-08 OCT 2019||Live Web||09:00 AM-12:30 PM EDT||English||800 USD / 1.6 EPTO|