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Python data mining quick start guide: a beginner's guide to extracting valuable insights from your data

This book is an introduction to data mining and its practical demonstration of working with real-world data sets. With this book, you will be able to extract useful insights using common Python libraries. You will also learn key stages like data loading, cleaning, analysis, visualization to build an...

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Detalles Bibliográficos
Autor principal: Greeneltch, Nathan
Lenguaje:eng
Publicado: Packt Publishing 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2680005
Descripción
Sumario:This book is an introduction to data mining and its practical demonstration of working with real-world data sets. With this book, you will be able to extract useful insights using common Python libraries. You will also learn key stages like data loading, cleaning, analysis, visualization to build an efficient data mining pipeline.