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Data Validation for Data Science Projects

  • Yuri Demchenko,
  • Juan J. Cuadrado-Gallego,
  • Oleg Chertov,
  • Marharyta Aleksandrova

摘要

In this book, we intentionally do not address issues related to data analytics. However, this chapter specifically deals with data preparation through data validation in Data Science projects. As will be demonstrated, ignoring data validation issues dismisses the possibility of uncovering further useful results such as hidden patterns and relationships in the data. We will provide the mathematical foundations of data validation, along with practical recommendations for its effective implementation.