Ultimately, regression analysis is the primary way users new to data mining can gain a deeper understanding of their data sets. It’s a method that goes beyond simple causation and correlation.

Regression: Data mining can be used to construct predictive models based on many variables. Facebook, for example, might be interested in predicting future engagement for a user based on past ...

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

Topics to be covered include logistic regression, data mining,regression prediction, classification prediction, artificial neural networks, sensitivity analysis, information fusion, and combining ...

Data mining is a process that turns large volumes of raw data into actionable intelligence, and it's used by a wide variety of industries.

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

An adjusted empirical likelihood is constructed for the vector of regression coefficients using a synthetic data approach. The adjusted empirical likelihood is shown to have a central chi-squared ...