3. Supervised Learning – Key Steps

Overview

In this chapter, you will learn about key concepts for solving a supervised learning data problem. Starting from splitting the dataset to effectively create unbiased models that perform well on unseen data, you will learn how to measure the performance of the model in order to analyze it and take the necessary actions to improve it. By the end of this chapter, you will have a firm understanding of how to split a dataset, measure a model's performance, and perform error analysis.

Introduction

In the preceding chapter, we saw how to solve data problems using unsupervised learning algorithms and applied the concepts that we learned about to a real-life dataset. We also learned how to compare the ...

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