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.Aprenda como
Quem poderá participarPython 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.
Este curso aborda SAS Viya, SAS Visual Data Mining and Machine Learning software.
SAS Viya and Open Source Integration
|Datas||Locais||Hora||Linguagem||Valor||Adicionar ao carrinho|
|15 JUN 2020||* Cary, NC (World Headquarters)||09:00 AM-05:00 PM EDT||English||800 USD|
|15 MAY 2020 Connected Class||Arlington, VA (DC area)||09:00 AM-05:00 PM EDT||English||800 USD|
|03 DEC 2020||Arlington, VA (DC area)||09:00 AM-05:00 PM EST||English||800 USD|
|15 MAI 2020||Live Web||10:00 AM-06:00 PM -03||English||1,648 BRL|
|13 OUT 2020||Live Web||10:00 AM-06:00 PM -03||English||1,648 BRL|
|13 OCT 2020 Connected Class||New York, NY||09:00 AM-05:00 PM EDT||English||800 USD|
|10 JUN 2020||San Francisco, CA||09:00 AM-05:00 PM PDT||English||800 USD|
|22 SEP 2020||San Francisco, CA||09:00 AM-05:00 PM PDT||English||800 USD|