Categorical data is a prevalent type of data in machine learning, representing discrete or limited sets of values. Examples include a person’s gender or ethnicity. True or False: Ordinal encoding is often the recommended approach, and it involves transforming each categorical value into n (the number of categories) binary values, where one value is 1 and all others are 0.