The next step after schema creation is to define a data transformation process by adding all the required transformations. We can manage an ordered list of transformations using TransformProcess. During the schema creation process, we only defined a structure for the data with all its existing features and didn't really perform transformation. Let's look at how we can transform the features in the datasets from a non-numeric format into a numeric format. Neural networks cannot understand raw data unless it is mapped to numeric vectors. In this recipe, we will build a transformation process from the given schema.