305Course · Practitioner
Regression
The most-used model.
The most-used model in industry. Linear regression, its assumptions, diagnostics, and the regularizers that make it robust.
- 01
Fit a linear model.
- 02
Diagnose it.
- 03
Interpret coefficients honestly.
- 04
Know when linearity is the wrong assumption.
Prerequisites
- — Statistics for Machine Learning.
Pacing
~4 hours.
- IModule
Linear regression
The workhorse.
- IIModule
Regularization
Ridge, lasso, elastic net.
A Note from the Faculty
You will fit more linear models in your career than any other kind.