We will take a brief tour of some well-known supervised learning algorithms and see how we can apply them to the Titanic survival prediction problem described earlier.
Before we start our tour of the machine learning algorithms, we need to know a little bit about the
Patsy library. We will make use of
Patsy to design features that will be used in conjunction with
Patsy is a package for creating what are known as design matrices. These design matrices are transformations of the features in our input data. The transformations are specified by expressions known as formulas, which correspond to a specification of what features we wish the machine learning ...