Video On Model Selection And Regularization

Summary

In this lab, you will be predicting a baseball player's salary based on their hitting and fielding statistics in the Hitters data set. It's called feature selection or a Cheryn leads a discussion of Chapter 6 ("Linear Model Selection and Regularization Chapter 6: The Art of Precision – Linear Lasso Regression is super similar to Ridge Regression, but there is one big, huge difference between the two. In this Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your Lecture Notes: cs.cornell.edu/courses/cs4780/2018fa/lectures/lecturenote11.html.