Machine Learning Using SAS Viya

Learn the theoretical foundation for different techniques associated with supervised machine learning models. You'll develop a series of supervised learning models including decision tree, ensemble of trees (forest and gradient boosting), neural networks and support vector machines. Demonstrations and exercises will reinforce all the concepts and the analytical approach to solving business problems. A business case study will guide you 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.