Why feature scaling matters
Feature engineering is a complex process, and it is done through many steps. Feature scaling is one of the critical steps. We will learn about this new concept of feature scaling in this lesson. In this lesson, we will talk about the importance of feature scaling. Furthermore, why it is vital as we will get to know which algorithms are sensitive to the feature magnitude and which ones are not. In order to address the problem of feature magnitude, we need to scale the features in our dataset. In this lesson, we will go through various methods and techniques that allow us to do that.
Frequently, machine learning datasets contain features that vary in scales, which is a problem for some algorithms that rely on distance. In other words, feature scaling transformations are essential for feature engineering. Therefore, this section will explore almost everything to get you started with feature scaling.
Definition
Feature Scaling is a technique to standardize the independent features present in the data in a fixed range. It is performed ...
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