Original code:
import numpy as np from sklearn import linear_model def desired_marketing_expenditure(marketing_expenditure, units_sold, desired_units_sold): """ :param marketing_expenditure: (list) A list of integers with the expenditure for each previous campaign. :param units_sold: (list) A list of integers with the number of units sold for each previous campaign. :param desired_units_sold: (integer) Target number of units to sell in the new campaign. :returns: (float) Required amount of money to be invested. """ return None #For example, with the parameters below, the function should return 250000.0 print(desired_marketing_expenditure( [300000, 200000, 400000, 300000, 100000], [60000, 50000, 90000, 80000, 30000], 60000))
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