Book Image

Feature Engineering Made Easy

By : Sinan Ozdemir, Divya Susarla
Book Image

Feature Engineering Made Easy

By: Sinan Ozdemir, Divya Susarla

Overview of this book

Feature engineering is the most important step in creating powerful machine learning systems. This book will take you through the entire feature-engineering journey to make your machine learning much more systematic and effective. You will start with understanding your data—often the success of your ML models depends on how you leverage different feature types, such as continuous, categorical, and more, You will learn when to include a feature, when to omit it, and why, all by understanding error analysis and the acceptability of your models. You will learn to convert a problem statement into useful new features. You will learn to deliver features driven by business needs as well as mathematical insights. You'll also learn how to use machine learning on your machines, automatically learning amazing features for your data. By the end of the book, you will become proficient in Feature Selection, Feature Learning, and Feature Optimization.
Table of Contents (14 chapters)
Title Page
Copyright and Credits
Packt Upsell

Chapter 8. Case Studies

This book has gone through several different feature engineering algorithms and we have worked with many different datasets. In this chapter, we will go through a few case studies to help you deepen your understanding of the topics we have covered in the book. We will work through two full-length case studies from beginning to end to further understand how feature engineering tasks can help us create machine learning pipelines for real-life applications. For each case study, we will go through:

  • The application that we are working towards
  • The data in question that we are using
  • A brief exploratory data analysis
  • Setting up our machine learning pipelines and gathering metrics

Moreover, we will be going through the following cases:

  • Facial recognition
  • Predicting hotel reviews data

Let's get started!