A guide to quadratic approximation with logistic regression

Modelling and evaluating the relationship between a categorical dependent variable and continuous or discrete explanatory variables are the goals of Logistic Regression. It uses linear discriminant analysis and is the reason for calling a classification algorithm regression. There are different methods in the logistic regression model through which it can classify data, one of which is the Newton Raphson method which would be explained in this article moving forward. Following are the topics covered in this article. Table of contents About Logistic RegressionWhat is the Newton Raphson method?Quadratic approximation in python  Let’s start with a brief introduction to logistic regression. About Logistic Regression A logistic regression analysis reveals the relationship