import numpy as np
def NormalizeData(data):
return (data - np.min(data)) / (np.max(data) - np.min(data))
X = np.array([
[ 0, 1],
[ 2, 3],
[ 4, 5],
[ 6, 7],
[ 8, 9],
[10, 11],
[12, 13],
[14, 15]
])
scaled_x = NormalizeData(X)
print(scaled_x)