Linear models are the basic learning algorithms in the field of data science. Understanding how a linear model works is crucial in your journey of learning data science because it's the basic building block for most of the sophisticated learning algorithms out there, including neural networks.

In this chapter, we are going to dive into a famous problem in the field of data science, which is the Titanic example. The purpose of this example is to introduce linear models for classification and see a full machine learning system pipeline, starting from data handling and exploration up to model evaluation. We are going to cover the following topics in this chapter:

• Linear models for regression
• Linear models for classification
• Titanic example—model building and training
• Different types of errors