Data Categorization
Data categorization is the process of organizing and labeling data based on specific criteria or characteristics. This process involves identifying the relevant features of the data and grouping them into categories or classes. The purpose of data categorization is to make it easier to manage, analyze, and use the data. It enables data scientists to identify patterns, trends, and relationships within the data, which can be used to make informed decisions. Data categorization can be done manually or through automated processes using machine learning algorithms. It is an important step in data preprocessing and is used in various applications such as image recognition, natural language processing, and recommendation systems.
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