To prepare a dataset for machine learning, we need to address the following (check all that apply):

a. Replace missing values whenever possible and avoid deleting data unless it is necessary (too many missing values)

b. Turn categorical data into numbers

c. Scale the data to the same range (e.g., [0,1])

d. Keep only complete examples, i.e., discard all the examples that have one or more missing values.