We start our machine learning applications with regression for a few simple reasons:
- Regression is fundamental method for estimating the relationship between a variable ("y") that condition on many ("X") variables.
- But the coefficients obtained can also be used to generate predictions.
- Note: The focus in this section is on RELATIONSHIP paradigm
- Many issues that confront researchers have well understood solutions when regression is the model being used.
- Regression coefficients are easy to interpret.