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

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.

Scott Menard, Six Approaches to Calculating Standardized Logistic Regression Coefficients, The American Statistician, Vol. 58, No. 3 (Aug., 2004), pp. 218-223 ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

The primary limitation of logistic regressions (LR) in testing SNP–SNP interactions is that coefficient estimates may not be valid because of numerous terms in a model.

The CATMOD procedure can perform linear regression and logistic regression of response functions for data that can be represented in a contingency table. See Chapter 5, "Introduction to Categorical ...

The analysis of data generated by animal habitat selection studies, by family studies of genetic diseases, or by longitudinal follow-up of households often involves fitting a mixed conditional ...

What are the advantages of logistic regression over decision trees? This question was originally answered on Quora by Claudia Perlich.