This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

To account for such an over-dispersion, we propose to use an additive logistic normal multinomial regression model to associate the covariates to bacterial composition. The model can naturally account ...

I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.

Multinomial inverse regression is introduced as a general tool for simplifying predictor sets that can be represented as draws from a multinomial distribution, and we show that logistic regression of ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...