# Put the code below # consider using np.where() method to preprocess "Sex" column. # replace F in "Sex" F" with 1 and replace "M" with 0 # consider using the following condition: df['Sex'].values == 'F' # if this condition is met, put 1 otherwise 0. # Update the "Sex" column import numpy as np df['Sex'] = np.where() #complete this line of code by putting the appropriate code inside () df
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