Building the pipeline with the designer
In this section, we will create a training pipeline to train a machine learning model against the churn dataset you used in the previous chapter.
When you start designing a training pipeline, we recommend leveraging the 7 Steps of Machine Learning approach shown in the following diagram, which contains all the steps needed to create a machine learning model:
This 7-step journey is a valuable checklist for real-life end-to-end scenarios to ensure you are not missing anything. In this journey, you will need various components, transformations, and models, which you can find in the asset library. To keep things simple, we will skip a couple of steps in the pipeline that you are going to design. In this section, you will start with a dataset that you will prepare to train a model. You will then evaluate the model and store it. In the next section, you will use that model...