Practical Predictive Analytics

Summary

In this chapter, we learned about the various structured approaches to predictive analytics and how implementing an analytics project in a methodical way can enhance the success of an analytics project through collaboration and communication. We went through the various steps of the CRISP-DM methodology and demonstrated tools that you could use to help you progress along these steps.

We discussed the benefits of sampling and how it could speed up your project. SQL was demonstrated to illustrate basic charts and plots, so that you can begin to develop insight even before you create a first model. We showed that data simulation could also be used at the data understanding phase as a preliminary modeling tool to do "what ifing", even ...