Course 4: Supervised Machine Learning

Thanks to rapid technological advancements, the foundation of AI solutions for decision-making, "Supervised" ML models, is now within reach for any practitioner. Mastering essential predictive models has become more achievable, particularly with improving 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.