Course 4: Supervised Machine Learning

The foundation of AI solutions for decision-making, "Supervised" ML models are now within reach for any practitioner thanks to rapid technological advancements. Mastering essential predictive models has become more achievable, particularly with the improvement of automation tools. This course provides a comprehensive overview of "supervised" Machine Learning algorithms and their significance in improving predictions across various industries.

 This course will enable you to: 

• Learn about the rise of AI in conjunction with IoT and technological capabilities

• Understand the true meaning of Machine Learning (ML)

• Establish the connection between Data Analysis and Machine Learning

• Enhance predictions by experimenting with different ML models

• Refine classifications with models using multiple variables simultaneously

• Compare models using accuracy measures

• Grasp the usefulness of various cross-validation techniques

• Apply these concepts using SAS-Viya and Python.