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.
Introduction
Having gone through a fairly involved analysis in the previous chapter, you should now be feeling comfortable using Jupyter Notebooks to work with data. In addition to data exploration and visualization, ...
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