Logistic Regression Basics
The video below describes the basics of the logistic regression model and why we prefer it over linear regression for classification problems.
I highly recommend watching the video using the ‘full’ Panopto player. There is a ‘pop out’ button in the bottom right of the video to enter this viewer.
Note: Depending on which computer I was on (and hence which version of sklearn I had) the notation for two things differed:
- Specifying no penalty for a logistic regression model: Either
Noneor"none" - Specifying the newton type solver: Either
"newton-cholesky"or"newton-cg"
Notes
Use the table of contents on the left or the arrows at the bottom of this page to navigate to the next learning material!