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

Intro and Overview 00:0002:15
How to think about the Threshold 02:1504:35
Assigning Likeliness 04:3608:14
Maximum Likelihood 08:1511:02
Finding the Best Threshold 11:0311:34
Recap 11:3512:35

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

Gradient Descent Video:    • How I think about Gradient Descent  
Some Reading on Probability:   / overviewofprobability  

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