What are the most effective techniques for scaling and normalizing variables?

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Scaling and normalizing variables are two common techniques for feature engineering and selection in data analytics. They help to transform the data into a more suitable format for modeling and analysis, by reducing the impact of outliers, skewness, and varying units or scales. In this article, you will learn about the most effective techniques for scaling and normalizing variables, and how to apply them in different scenarios.

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