Main take-away#
Wrap-up#
In this module, you learned:
to create a scikit-learn predictive model;
about the scikit-learn API to train and test a predictive model;
to process numerical data, notably using a
Pipeline
.to process categorical data, notably using a
OneHotEncoder
and anOrdinalEncoder
;to handle and process mixed data types (i.e. numerical and categorical data), notably using a
ColumnTransformer
.
To go further#
You can refer to the following scikit-learn examples which are related to the concepts approached during this module: