Logistic Regression from Scratch

The logistic model is a building block in machine learning and many areas of social sciences. In this post, I explain how the derive the logistic model from first principles. Because I like learning-by-doing, I show how one can estimate its parameters using gradient descent or Newton-Raphson algorithms. In terms of real-life application, we will use data on NBA players to see what factors are influencing the success of a shot. The GitHub repository for this post can be …

code econometrics logistic regression machine learning nba regression