A dataset is a collection of data that we're going to use to create new predictions. There are different kinds of datasets. When we use a dataset for predictive analytics, we can consider a dataset like a table with columns and rows.

In a real-life problem, our dataset would be related to the problem we want to solve. If we want to predict which customer is most likely to buy a product, our dataset would probably contain customer and historic sales data. When we're learning, we need to find an appropriate dataset for our learning purposes. You can find a lot of example datasets on the Internet; in this chapter, and in the following one, we're going to use the Titanic passenger list as a dataset that has been taken from Kaggle.