Data Preparation Overview
The content associated with this category encompasses various facets of data preparation and analysis, including techniques for data cleaning, transformation, and enhancement in machine learning contexts. It highlights methods such as Singular Value Decomposition for dimensionality reduction and discusses the construction of data models and warehouses for effective information management. Visual analytics, data quality assurance, and the significance of structured data management to support operational excellence and decision-making in diverse applications are also addressed.
