An Introduction to Logistic Regression

In a previous video, we tested our gradient descent algorithm using logistic regression. In that video, linked to below, I was mostly interested in testing the minimization code on a problem we hadn’t done before. In this video, per a viewer request, I want to discuss logistic regression more detail and explain some of the math and assumptions underlying it. This builds on the things we discussed in the video on gradient descent and multivariate linear regression. Please see the links below for those videos.

Gradient Descent 3: https://youtu.be/Twxe59IjHDk
Multivariate Linear Regression: https://youtu.be/RRbcSozxLts

Github: https://github.com/kpmooney/numerical_methods_youtube/blob/master/logistic_regression/Logistic%20Regression.ipynb

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