Standardizing the Data Using StandardScaler in ML

Ensuring consistency in the numerical input data is crucial to enhancing the performance of machine learning algorithms. To achieve this uniformity, it is necessary to adjust the data to a standardized range.

Standardization and Normalization are both widely used techniques for adjusting data before feeding it into machine learning models.

In this article, you will learn how to utilize the StandardScaler class to scale the input data.

What is Standardization?

Before diving into the fundamentals of the StandardScaler class, you …

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