Min-Max Scaling: Revision history

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30 November 2024

  • curprev 00:1900:19, 30 November 2024‎ Fortify talk contribs‎ 2,912 bytes +2,912‎ Created page with "'''Min-Max Scaling''' is a data normalization technique used to scale features to a fixed range, typically [0, 1]. It ensures that all features contribute equally to the analysis or model by transforming the original values proportionally to fit within the specified range. Min-Max Scaling is widely used in data preprocessing for machine learning and statistical analysis. ==Overview== Min-Max Scaling transforms the data linearly by rescaling each value based on the featur..." Tag: Visual edit
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