Scaling: Revision history

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21 March 2023

  • curprev 01:1401:14, 21 March 2023‎ Walle talk contribs‎ 3,041 bytes +3,041‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In the field of machine learning, scaling refers to the process of adjusting the range of input features or data points to a uniform scale. This normalization of data is an essential pre-processing step that enhances the performance and efficiency of machine learning algorithms by addressing issues of heterogeneity and uneven distribution of features. ==Importance of Scaling in Machine Learning== Scaling is a crit..."
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