Practical Predictive Analytics

What this book covers

Chapter 1, Getting Started with Predictive Analytics, begins with a little bit of history of how predictive analytics developed. We then discuss some different roles of predictive analytics practitioners, and describe the industries in which they work. Ways to organize predictive analytic projects on a PC is discussed next, the R language is introduced, and we end the chapter with a short example of a predictive model.

Chapter 2, The Modeling Process, discusses how the development of predictive models can be organized into a series of stages, each with different goals, such as exploration and problem definition, leading to the actual development of a predictive model. We discuss two important analytics methodologies, ...