Understanding Data Normalization: Scaling Features Between 0 and 1
Data preprocessing constitutes a foundational and mandatory stage in modern statistical analysis and sophisticated machine learning workflows. Among the most critical techniques is feature scaling, frequently referred to as normalization. The central objective of this process is to meticulously adjust the numerical features within a dataset so that they uniformly occupy a specific, constrained range. […]
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