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.
이 강좌에 대하여
- 5 stars75.25%
- 4 stars18.55%
- 3 stars6.18%
SAS VIYA를 사용하는 머신 러닝의 최상위 리뷰
nice course for those who already knew machine learning concepts and wants to learn SAS viya for creating models.
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.
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.
A well designed and thoughtful course explaining the key concepts of machine learning
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