EVRI-thing You Need to Know About MLR, Ridge, LASSO and ElasticNet

Multiple Linear Regression goes wrong when used with ill-conditioned data. Find out how to fix it with Ridge Regression, LASSO and ElasticNet.

Table of Contents

00:00 – Introduction and Outline

01:48 – Inverse Least Squares models

02:46 – Multiple Linear Regression

04:45 – Example: Slurry-Fed Ceramic Melter

11:24 – Ridge Regression

24:16 – Least Absolute Shrinkage and Selection Operator (LASSO)

29:00 – Combining Ridge and LASSO: ElasticNet

33:06 – Example: Tecator Dataset

58:18 – Summary