When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.
Machine Learning Using SAS Viya
Master the Skills of Tomorrow with Coursera! From AI and Blockchain to Public Speaking and Psychology, Explore Courses Tailored for Your Success.
This Course Includes
coursera
4.7 (101 reviews )
35 hours 
english
Online - Self Paced
course
SAS
About Machine Learning Using SAS Viya
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.
What You Will Learn?
- Course Overview Getting Started with Machine Learning and SAS® Viya Data Preprocessing and Algorithm Selection Decision Trees and Ensembles of Trees Neural Networks Support Vector Machines Model Assessment and Deployment Additional Nodes Certification Practice Exam.