Here we aim to understand how exactly "Logistic Regression", a method that seems only to be used for classification problems, is indeed a regression algorithm.
We will as per the trend thus far, detail closed-form and approximate solutions to the loss function on this page. Furthermore, we will see how this type of regression is still a member of the GLM (generalised linear models) family, and we shall witness the derivation of the loss function by assuming our data is Bernoulli distributed.