The Data Science Workshop

16. Machine Learning Pipelines

Overview

By the end of this chapter, you will be able to automate machine learning (ML) workflows with the scikit-learn pipeline utility; process and transform data with pipeline; automate model building processes using pipelines; and expedite the selection of model parameters using the grid search leveraging pipeline.

In this chapter, we will be using the credit card application dataset that was used in Chapter 15, Ensemble Learning, and we will be looking at performing preprocessing, dimensionality reduction, and modeling using the pipeline utility.

Introduction

In the previous chapter, we learned various techniques for generating ensemble models by combining individual models. You will have noticed that ...