Selecting features

As with any real world dataset, we will always come across data that won’t do any good and others that won’t be very significant in the model. We will have to choose which features will be used for the ML model we are going to develop. In this case, let’s consider the variables

[‘PassengerId’, ‘Name’, ‘Ticket’, ‘Cabin’]

because apparently they don’t seem relevant.

Thus, we are left with the following variables to be treated and prepared:

[‘Pclass’, ‘Sex’, ‘Age’, ‘SibSp’, ‘Parch’, ‘Fare’, ‘Embarked’].