TL;DR: Logistic regression made simple: sigmoid, probabilities and maximum likelihood, with a real diabetes prediction example anyone can follow. Logistic regression is a supervised machine learning model which is built on the linear regression formula that which is why it is called a regression model. This model is mainly used for classification tasks where the goal is to predict the probability that an instance belongs to a given class or not. Logistic Regression is a statistical algorit...