Applied Data Science with Python and Jupyter

2

Data Cleaning and Advanced Machine Learning

Learning Objectives

By the end of this chapter, you will be able to:

• Plan a machine learning classification strategy
• Preprocess data to prepare it for machine learning
• Train classification models
• Use validation curves to tune model parameters
• Use dimensionality reduction to enhance model performance

In this chapter, you will learn data preprocessing and machine learning by completing several practical exercises.

Introduction

Consider a small food-delivery business that is looking to optimize their product. An analyst might look at the appropriate data and determine what type of food people are enjoying most. Perhaps they find a large amount of people are ordering the spiciest food options, ...