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!