Model Selection & Validation Fundamentals

About this course

Learn the essential concepts and foundations of model selection & validation.

• 5 lessons
• 30 min
• beginner

What you'll learn

• Define model selection and model validation in the context of machine learning
• Explain why selecting the right model is the true challenge of applied machine learning
• Identify the two central failure modes that model selection aims to prevent
• Describe the standard workflow for splitting data into training, validation, and test sets
• Explain the purpose and typical size of validation sets
• Demonstrate proper sequencing: training for fitting, validation for tuning, test for final evaluation

Finishing the course

• 20 knowledge-check questions along the way, so you know the ideas stuck before you move on.
• Watching is free and needs no account. Sign in to save your progress. Pass each lesson's quiz (60%+) to earn the certificate. Each certificate has its own public verification link to share, marked quiz-verified.
• Part of the Machine Learning Fundamentals and Applications learning path. Enrol in the path and finish its required courses to earn one certificate for all of them.

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