Exploratory Data Analysis Using by Ponde Poonam (8 results)

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    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2023

      6207454073 / 9786207454075

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    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2023

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      Taschenbuch. Condition: Neu. Exploratory Data Analysis Using Python | A Quick Reference Guide | Poonam Ponde | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786207454075 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2023

      6207454073 / 9786207454075

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    • Language: English

      Published by LAP LAMBERT Academic Publishing Dez 2023, 2023

      6207454073 / 9786207454075

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      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 88 pp. Englisch.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2023

      6207454073 / 9786207454075

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    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2023

      6207454073 / 9786207454075

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      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Exploratory Data Analysis using Python: A Quick Reference Guide' serves as an invaluable companion for data enthusiasts seeking a concise and practical overview of exploratory data analysis (EDA) techniques using the Python programming language. Exploratory Data Analysis serves as an important step of any data analysis task, offering a systematic approach to understanding, cleaning, and interpreting data before carrying out more complex modeling. It not only enhances the reliability of subsequent analyses but also empowers data practitioners to make informed decisions, leading to more robust and actionable insights. This book is designed to be a quick reference, offering insights into key Python libraries and methods for effective data exploration. Whether you're a beginner or an experienced data analyst, this guide provides essential tools and tips to navigate through the intricate process of EDA, enabling you to uncover patterns, trends, and valuable insights within your datasets efficiently.

    • Language: English

      Published by LAP Lambert Academic Publishing, 2023

      6207454073 / 9786207454075

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      Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Exploratory Data Analysis using Python: A Quick Reference Guide serves as an invaluable companion for data enthusiasts seeking a concise and practical overview of exploratory data analysis (EDA) techniques using the Python programming language. Explorator.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Dez 2023, 2023

      6207454073 / 9786207454075

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      Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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      Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Exploratory Data Analysis using Python: A Quick Reference Guide' serves as an invaluable companion for data enthusiasts seeking a concise and practical overview of exploratory data analysis (EDA) techniques using the Python programming language. Exploratory Data Analysis serves as an important step of any data analysis task, offering a systematic approach to understanding, cleaning, and interpreting data before carrying out more complex modeling. It not only enhances the reliability of subsequent analyses but also empowers data practitioners to make informed decisions, leading to more robust and actionable insights. This book is designed to be a quick reference, offering insights into key Python libraries and methods for effective data exploration. Whether you're a beginner or an experienced data analyst, this guide provides essential tools and tips to navigate through the intricate process of EDA, enabling you to uncover patterns, trends, and valuable insights within your datasets efficiently.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.