3. Preparing Data for Predictive Modeling

Overview

In this chapter, you will learn to plan a machine learning strategy and assess whether or not data is suitable for modeling. You will also perform operations on data in to prepare it so that it can be used to train models. This will include filling missing records, converting from categorical to numeric features, and splitting datasets into training and testing groups. By the end of this chapter, you will be able to process datasets and make them ready for predictive analysis.