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  • 1
    Online Resource
    Online Resource
    Hoboken, NJ : John Wiley & Sons, Inc.
    UID:
    gbv_1014967082
    Format: 1 Online-Ressource (xxiii, 343 Seiten) , Diagramme
    ISBN: 1119126800 , 9781119126775 , 9781119126782 , 9781119126805
    Series Statement: ITpro collection
    Content: Introduction to Python R and data science -- Data input -- Data inspection and manipulation -- Exploratory data analysis -- Statistical modeling -- Data visualization -- Machine learning and data mining
    Content: The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python. The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to program in R. Short on theory and long on actionable analytics, it provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations—complete with sample code—of R to Python and Python to R. Following an introduction to both languages, the author cuts to the chase with step-by-step coverage of the full range of pertinent programming features and functions, including data input, data inspection/data quality, data analysis, and data visualization. Statistical modeling, machine learning, and data mining—including supervised and unsupervised data mining methods—are treated in detail, as are time series forecasting, text mining, and natural language processing.
    Note: Includes bibliographical references and index
    Additional Edition: ISBN 9781119126768
    Additional Edition: Erscheint auch als Druck-Ausgabe Ohri, A. (Ajay), author Python for R users Hoboken, NJ : John Wiley & Sons, 2017
    Language: English
    Keywords: Python
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