normalization-sklearn.py

from sklearn.preprocessing import MinMaxScaler
norm_scaler = MinMaxScaler()
dx_train_normalized_sklearn = norm_scaler.fit_transform(dx_train)

# Printing the first 5 rows
print(f"Training data normalized using Scikit-Learn: \n{dx_train_normalized_sklearn[:5]}")

'''
Out:
Training data normalized using Scikit-Learn: 
[[0.3  0.95]
 [0.7  0.5 ]
 [0.35 1.  ]
 [0.3  0.9 ]
 [0.5  0.5 ]]
'''