SAS Institute Of Management Studies - Machine Learning using SAS VIYA

Machine Learning using SAS VIYA
at
Skill India
Overview

The course discusses the theoretical foundation for different techniques associated with supervised machine learning models

Skills you will learn

Who should do this course?

What are the course deliverables?

Learn how to Apply the analytical life cycle to business need. Incorporate a business-problem-solving approach in daily activities
Prepare and explore data for analytical model development
Create and select features for predictive modeling. Develop a series of supervised learning models based on different techniques such as decision tree, ensemble of trees (forest and gradient boosting), neural networks, and support vector machines
Evaluate and select the best model based on business needs
Deploy and manage analytical models under production

More about this course

The course uses a series of demonstrations and practices to reinforce all the concepts and the analytical approach to solving business problems
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 and deployment
The e-learning version of this course provides access to SAS Viya for Learners, which enables students to use the software to complete the practices