Chapter 3
Developing a Text classifier

Learning Objectives

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

• Describe the different types of machine learning algorithms
• Differentiate between unsupervised and supervised learning methodologies
• Distinguish between classification and regression problems
• Describe various sampling techniques
• Develop end-to-end text classifiers
• Evaluate models using metrics such as accuracy, precision, and recall
• Build pipelines for streamlining NLP projects
• Save and load models

In this chapter, you will learn about the various types of machine learning algorithms and develop classifiers with their help.