Standardizing or Normalizing discrete variable?
If they are not one of the target variables, It is okay to include these variables along with other numeric continuous variables into a standardization or normalization process.
When we have discrete variable such as age, number of sick leaves, number of kids in the family and number of absences within a dataframe which i wanted to make a prediction model with binary result, is it okay to include these variables along with other numeric continuous variables into a standardization or normalization process?
or should i categorize these discrete variables into a categoric variable and turned them into dummy variables?