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%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
%load_ext autoreload
%autoreload 2

Data Generation



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num_samples, num_features = 10, 5



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np.random.seed(10)
data = np.random.rand(num_samples, num_features)

Solution



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print(data)



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def standardize(x):
    ''' fill your code in here...
    '''
    return x

std_data = standardize(data)



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print(std_data, "\n\n", np.mean(std_data, axis=0), "\n\n", np.std(std_data, axis=0))