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joelouismarino/1d_gaussian_normalization.py

Last active August 6, 2017 19:42
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1d_gaussian_normalization.py
import numpy as np
n_samples = 500
mean = 15
std_dev = 5
X = np.random.normal(mean, std_dev, n_samples)
Z = (X - np.mean(X)) / np.std(X)
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