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Exploratory Data Analysis
Exploratory Data Analysis
Knygos.lt klubas Knygos.lt nariams
96,66 €
-30%
Įprastai
138,09 €
  • Išsiųsime per 12–18 d.d.
This book is a comprehensive guide to Exploratory Data Analysis (EDA), providing readers with the tools, techniques, and knowledge needed to conduct effective and thorough data exploration. Throughout the seven main chapters, the book details the various aspects of EDA, from data description and preprocessing, to visualization, storytelling, and dashboard design. We will explore real-world datasets, uncovering hidden patterns and gaining insights along the way. The book is filled with illustrat…

Exploratory Data Analysis (el. knyga) (skaityta knyga) | knygos.lt

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This book is a comprehensive guide to Exploratory Data Analysis (EDA), providing readers with the tools, techniques, and knowledge needed to conduct effective and thorough data exploration. Throughout the seven main chapters, the book details the various aspects of EDA, from data description and preprocessing, to visualization, storytelling, and dashboard design. We will explore real-world datasets, uncovering hidden patterns and gaining insights along the way. The book is filled with illustrations using practical examples, Python codes, and different types of exercises designed to reinforce the concepts and processes discussed.

Whether you are a student just starting out in the field of data science, a senior professional looking to improve your skills, or a curious individual interested in the power of data, this book is for you.

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This book is a comprehensive guide to Exploratory Data Analysis (EDA), providing readers with the tools, techniques, and knowledge needed to conduct effective and thorough data exploration. Throughout the seven main chapters, the book details the various aspects of EDA, from data description and preprocessing, to visualization, storytelling, and dashboard design. We will explore real-world datasets, uncovering hidden patterns and gaining insights along the way. The book is filled with illustrations using practical examples, Python codes, and different types of exercises designed to reinforce the concepts and processes discussed.

Whether you are a student just starting out in the field of data science, a senior professional looking to improve your skills, or a curious individual interested in the power of data, this book is for you.

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