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

Now that you've got a good sense of how to 'speak' R, let's use it with linear regression to make distinctive predictions.

In this module, we will introduce the basic conceptual framework for statistical modeling in general, and linear statistical models in particular. In this module, we will learn how to fit linear ...

Additive models and tree-based regression models are two main classes of statistical models used to predict the scores on a continuous response variable. It is known that additive models become very ...

Regression models using fractional polynomials of the covariates have appeared in the literature in an ad hoc fashion over a long period; we provide a unified description and a degree of formalization ...