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In this machine learning tutorial we look into normalization, which is another preprocessing method in scikit-learn.

There are two main types of normalization often used, L1 or the Least Absolute Deviations, and L2, or the Least Squares. We are going to apply both of them onto our dataset and we'll observe how it changes the dataset.

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References:

1. Prateek Joshi: Artificial Intelligence with Python - [ Ссылка ]

Books I recommend to learn Machine Learning and Deep Learning:

1. Muller & Guido - Machine Learning with Python: [ Ссылка ]
2. Aurelien Geron - Hands-on Machine Learning: [ Ссылка ]
3. Ian Goodfellow - Deep Learning: [ Ссылка ]
4. Francois Chollet - Deep Learning with Python: [ Ссылка ]

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