Module Learning Outcomes

Module Learning Outcomes

By the end of the module, students are expected to:

• Explain handle_unknown="ignore" hyperparameter of scikit-learn’s OneHotEncoder.
• Identify when it’s appropriate to apply ordinal encoding vs one-hot encoding.
• Explain strategies to deal with categorical variables with too many categories.
• Explain why text data needs a different treatment than categorical variables.
• Use scikit-learn’s CountVectorizer to encode text data.
• Explain different hyperparameters of CountVectorizer.
• Use ColumnTransformer to build all our transformations together into one object and use it with scikit-learn pipelines.

Let’s start!