numpy random
from numpy import random
n = random.randint(lowerbound(inclusive), higherbound(exclusive))numpy random
from numpy import random
n = random.randint(lowerbound(inclusive), higherbound(exclusive))np.random.randn()
>>> 2.5 * np.random.randn(2, 4) + 3
array([[-4.49401501, 4.00950034, -1.81814867, 7.29718677], #random
[ 0.39924804, 4.68456316, 4.99394529, 4.84057254]]) #randomnp.random.rand()
# train test split
df = pd.read_csv('file_location')
mask = np.random.rand(len(df)) < 0.8
train = df[mask]
test = df[~mask]Copyright © 2021 Codeinu
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