Lecture 3.1: Model Selection

How do we evaluate whether machine learning models will work well in practice? In part 1 of this lecture, we'll discuss how to build training and test sets, which evaluation metrics to use, and how tune model outputs to real-world applications.

Slides and notebooks: ml-course.github.io/master/