This course provides an introduction to supervised models, unsupervised models, and association models. This is an application-oriented course and examples include predicting whether customers cancel their subscription, predicting property values, segment customers based on usage, and market basket
DurationThis course provides an introduction to supervised models, unsupervised models, and association models. This is an application-oriented course and examples include predicting whether customers cancel their subscription, predicting property values, segment customers based on usage, and market basket analysis.
Audience
Data scientists
Business analysts
Clients who want to learn about machine learning models
Prerequisites
Knowledge of your business requirements
Objective
Introduction to machine learning models
Taxonomy of machine learning models
Identify measurement levels
Taxonomy of supervised models
Build and apply models in IBM SPSS Modeler
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Whether you’re focused on a specific market or expanding into new technologies or geographies, TD SYNNEX's experienced team, global reach, market knowledge and relationships with the world's top technology and IT service providers give you a powerful partner you can rely on to help you grow your business anywhere in the world.
This course covers an introduction to machine learning, helping candidates to acquire the essential knowledge and skills needed to understand and apply different machine learning techniques.
This Machine Learning with Sagemaker (AWS) course intended for data scientists and software engineers
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