Machine Learning Fundamentals

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Appendix

About

This section is included to assist the students to perform the activities present in the book. It includes detailed steps that are to be performed by the students to complete and achieve the objectives of the book.

Chapter 1: Introduction to scikit-learn

Activity 1: Selecting a Target Feature and Creating a Target Matrix

1. Load the titanic dataset using the seaborn library. First, import the seaborn library, and then use the load_dataset("titanic") function:

   import seaborn as sns

   titanic = sns.load_dataset('titanic')

   titanic.head(10)

   Next, print out the top 10 instances; this should match the below screenshot:

   

   Figure 1.23: An ...