Data Science and Machine Learning with R

Data Science and Machine Learning with R (Paperback, Thareja Reema)

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Data Science and Machine Learning with R  (Paperback, Thareja Reema)

4.3
23 Ratings & 3 Reviews
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    Highlights
    • Binding: Paperback
    • Publisher: McGraw Hill
    • ISBN: 9789354600333
    • Edition: 1, 2021
    • Pages: 496
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  • Description
    The book has been designed keeping in mind the needs of the beginners of this subject area while having no prior knowledge in this field. It is aimed to be used as a textbook for undergraduate and postgraduate students. However, it can also be used by research scholars and professionals. The text introduces the concepts of R programming language in a lucid way and enables the reader to use these to perform data science and machine learning applications for solving real-world problems. Every chapter in this book contains multiple programming exercises and examples that enhance the understanding of the subject. Salient Features : 1) Discussion on key topics such as ggplot2 package, sentiment analysis, web scrapping, etc. 2) Easy explanation of concepts along with programming applications 3) Wide variety of pedagogical elements such as Chapter Highlights, Review Exercises, MCQs, Programming Exercises, etc. 4) Teaching aids such as ‘Programming Tips’ to help students remember important concepts and identify some typical errors 5) Additional Appendices and Case Studies as online resources
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    Specifications
    Book Details
    Publication Year
    • 2021 July
    Number of Pages
    • 496
    Contributors
    Author Info
    • Reema Thareja has got more than 15 years of teaching experience in several courses including for BA, BSc, MSc, BBA, MBA, BCA, and MCA. She has authored several books with Oxford University Press, India and on Computer Fundamentals, C Programming, OOPS with C++, Data Structures, Data Warehousing, Python Programming that are well-accepted across the globe. A total of 17 of her research papers have already been published and four more are in progress
    University Books Details
    Stream
    • engineering
    Specialization
    • computer science
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    • 1 Book
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    Ratings & Reviews
    4.3
    23 Ratings &
    3 Reviews
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    5

    Highly recommended

    Contains detailed information for most commonly used Image Processing algorithms and also detailed analysis of common Clustering Algorithms such as K-means. Also I liked the inclusion of analysis and implementation of Web Scrappers. Just a knit picking though, that Python over R would have been much beneficial personally. A different series with Python would be welcomed.
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    Tushar Bajpayee

    Certified Buyer, Gorakhpur

    Oct, 2021

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    5

    Worth every penny

    Super !
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    Flipkart Customer

    Certified Buyer, Aravakurichi

    Aug, 2022

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    5

    Brilliant

    Nice book
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    Flipkart Customer

    Certified Buyer, Madhurawada

    Mar, 2022

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