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Data Science Process and Mining Overview by pradeeplavrp09 is a document available to read on EtoBox.

What is Data Science Process and Mining Overview about?

The document outlines the data science process, detailing six key stages: problem definition, data collection, data preparation, data modeling, evaluation, and deployment. It also elaborates on data mining and data warehousing, highlighting their definitions, processes, and characteristics. Additionally, it discusses different types of data, including structured, unstructured, and machine-generated data, and emphasizes the importance of using tables and graphs for data description.

Author

pradeeplavrp09

Language

EN