This course covers the theoretical foundation for different techniques associated with supervised machine learning models. In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment. A series of demonstrations and exercises is used to reinforce the concepts and the analytical approach to solving business problems. This course uses Model Studio, the pipeline flow interface in SAS Viya that enables you to prepare, develop, compare, and deploy advanced analytics models. You learn to train supervised machine learning models to make better decisions on big data. The SAS applications used in this course make machine learning possible without programming or coding.
EO
The content is great, although the platform failed after 5 days of inactivity. My account was deactivated and I was never able to recover it so I couldn't follow the tutorials.
KK
nice course for those who already knew machine learning concepts and wants to learn SAS viya for creating models.
SS
This is a good course . SAS is the leader in the world of analytics.
TA
Easy to follow even with limited statistics knowledge.Instructors teach the basics to get you started and best of all the software is included so you can practice.
RM
I found this course SAS Viya really excellent and useful for Data Scientist. I would recommend it to anyone interested in learning and deploy machine learning.
PD
A well designed and thoughtful course explaining the key concepts of machine learning
RM
The instructors of this course did a great job in explaining SAS Viya tools to build machine pipelines. Kudos to Jeff, Catherine, and Andy for putting together an awesome course!
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Nothing practical to learn, not even temporary access to SAS...
Thank you SAS, Coursera, all involved to make this course available here. In special to Jeff and Catherine who covered different techniques associated with supervising machine learning models and analytical approach to solve problems business on Model Studio and pipeline flow interface.
The end-to-end course approach is very good, from data import, exploration, pre-processing, model training and evaluation. It enriches the knowledge of anyone working with predictive modeling and even prepares you for certification.
The instructors of this course did a great job in explaining SAS Viya tools to build machine pipelines. Kudos to Jeff, Catherine, and Andy for putting together an awesome course!
Easy to follow even with limited statistics knowledge.
Instructors teach the basics to get you started and best of all the software is included so you can practice.
I found this course SAS Viya really excellent and useful for Data Scientist. I would recommend it to anyone interested in learning and deploy machine learning.
A well designed and thoughtful course explaining the key concepts of machine learning
This is a good course . SAS is the leader in the world of analytics.
Thank you very much!!!
This course will change my career and life.
Great interactive introduction to SAS Viya
Excellent course
best platform
Good course.
I loved it
Very nice
Good
The content is great, although the platform failed after 5 days of inactivity. My account was deactivated and I was never able to recover it so I couldn't follow the tutorials.
Curso básico que apresenta as funcionalidades do SAS Viya para as aplicações de Machine Learning baseado somente em modelos supervisionados.
nice course for those who already knew machine learning concepts and wants to learn SAS viya for creating models.
I liked the course. However too little time was spend on model deployment. There was none on testing. This is the most important part of developing a model. Otherwise I liked the course