Machine Learning Terminology and Process

This course introduces you to basic machine learning concepts and the machine process the data goes through. We explore each step in the machine learning process in detail and explain some of the common terms and techniques that occur during a phase of a ML project.

• Data preparation and feature basics
• Training, validation, testing concepts
• Model evaluation metrics fundamentals
• Understanding supervised and unsupervised learning

• Understand the ML project lifecycle
• Describe each stage of data flow
• Interpret basic ML terminology confidently

• Step by step ML process walkthrough
• Concept explanations with practical examples
• Terminology guides and recap checks
• Certificate of completion