How I think about Logistic Regression - Part 1

A (hopefully) simple and intuitive explanation of logistic regression for binary classification.

Intro and Overview 00:00-02:15
How to think about the Threshold 02:15-04:35
Assigning Likeliness 04:36-08:14
Maximum Likelihood 08:15-11:02
Finding the Best Threshold 11:03-11:34
Recap 11:35-12:35

The Math Behind Logistic Regression:    • How I think about Logistic Regression...  
Part 2:    • How I think about Logistic Regression...  
Part 3: Coming Soon!

Gradient Descent Video:    • How I think about Gradient Descent  
Some Reading on Probability:   / overview-of-probability  

Visualization and animation code on GitHub: https://github.com/gallettilance/repr...

Thumbnail by   / endless.yarning  

#machinelearning #logisticregression #education #classification #optimizationalgorithm #explained #mathexplained #machinelearningalgorithm #mathformachinelearning #machinelearningbasics #datascience #datasciencebasics #linearregression #probability #probabilitytheory