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
Part 2: • How I think about Logi...
The Math Behind Logistic Regression: • How I think about Logi...
Part 3: Coming Soon!
Gradient Descent Video: • How I think about Grad...
Some Reading on Probability: / overview-of-probability
Visualization and animation code on GitHub: github.com/gallettilance/repr...
Thumbnail by / endless.yarning
#machinelearning #logisticregression #education #classification #optimizationalgorithm #explained #mathexplained #machinelearningalgorithm #mathformachinelearning #machinelearningbasics #datascience #datasciencebasics #linearregression #probability #probabilitytheory
4 июл 2024