What is Normalization in Machine Learning? A

normalization  In data analysis and machine learning workflows, data normalization is a pre-processing step It adjusts the scale of data and ensures that all The concept of composition exclusion is a key part of the Unicode Normalization Algorithm For normalization forms NFC and NFKC, which normalize Unicode strings

Normalization organizes the columns and tables of a database to ensure that database integrity constraints properly execute their dependencies  Data normalization applies a set of formal rules to develop standardized, organized data, and eliminates data anomalies that cause difficulty for analysis The

Normalization is a data transformation process that aligns data values to a common scale or distribution of values so that Normalization includes adjusting the By getting rid of all anomalies and organizing unstructured data into a structured form, normalization greatly improves the usability of a data