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 ...

Some common techniques in data mining include clustering, classification, association rule mining, and regression analysis. Examples of Data Mining Applications: ...

This article provides a quick explanation of the nine most common data-mining techniques used in predictive analytics. Becoming familiar with them will go a long way toward enabling you to recognize ...

Simple linear regression is commonly used in forecasting and financial analysis—for a company to tell how a change in the GDP could affect sales, for example.

We’ll use data taken from a Pew Research Center 2016 post-election survey, and you can download the dataset for your own use here. We’ll discuss both bivariate regression, which has one outcome ...

The course will aim to cover modern non-linear methods such as spline methods, generalised additive models, decision trees, random forests, bagging, boosting and support vector machines, as well as ...