Design And Build The Transformation Pipeline

Lesson 8 of 17

Now let’s start designing the ML.NET data transformation pipeline. This is the sequence of feature engineering steps that will transform the dataset into something suitable for a machine learning algorithm to train on.

After completing the previous lessons, you should have a pretty good idea which feature engineering steps are needed to get this dataset ready for machine learning training.

You’re already performing these transformations:

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