Learn how to use the machine learning (ML) pipeline with Amazon SageMaker with hands-on exercises and four days of instruction. You will learn how to frame your business problems as ML problems and use Amazon SageMaker to train, evaluate, tune, and d...
Course OutlineIIntroduction to advanced machine learning models Taxonomy of models, Overview of supervised models, Overview of models to create natural groupings, Group fields: Factor Analysis and Principal Component Analysis, Factor Analysis basics,...
Course OutlineIntroduction to machine learning models, Taxonomy of machine learning models, Identify measurement levels, Taxonomy of supervised models, Build and apply models in IBM SPSS Modeler Supervised models: Decision trees - CHAID CHAID basics...
Course Outline1: Introduction to predicting continuous targets• List three modeling objectives• List two business questions that involve predicting continuous targets• Explain the concept of field measurement level and its implications for selecting...
Course Outline1: Introduction to predictive models for categorical targets• Identify three modeling objectives• Explain the concept of field measurement level and its implications for selecting a modeling technique• List three types of models to pred...
Course Outline1: Introduction to data science and IBM SPSS Modeler • Explain the stages in a data-science project, using the CRISP-DM methodology • Create IBM SPSS Modeler streams • Build and apply a machine learning model2: Setting measurement level...