Main take-awayΒΆ


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 an OneHotEncoder and an OrdinalEncoder;

  • to handle and process mixed data types (i.e. numerical and categorical data), notably using a ColumnTransformer.

To go furtherΒΆ

You can refer to the following scikit-learn examples which are related to the concepts approached during this module: