1. Introduction to Scikit-Learn

Activity 1.01: Selecting a Target Feature and Creating a Target Matrix

Solution:

1. Load the titanic dataset using the seaborn library:

   import seaborn as sns
   titanic = sns.load_dataset('titanic')
   titanic.head(10)

   The first couple of rows should look as follows:

   Figure 1.22: An image showing the first 10 instances of the Titanic dataset

2. Select your preferred target feature for the goal of this activity.

   The preferred target feature could be either survived or alive. This is mainly because both of them label whether a person survived the crash. For the following steps, the variable that's been chosen is survived. However, choosing alive will not affect the final shape of the variables.

3. Create both the features matrix and the target matrix. Make sure that you store the data from the features matrix in a variable, X, and the data from the target matrix in another variable, Y:

   X = titanic.drop('survived',axis = 1)
   Y = titanic...