Learn R By Coding
(eBook)

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Published
Thomas Kurnicki, 2019.
Status
Available Online

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Format
eBook
Language
English
ISBN
9788395204623

Citations

APA Citation, 7th Edition (style guide)

Thomas Kurnicki., & Thomas Kurnicki|AUTHOR. (2019). Learn R By Coding . Thomas Kurnicki.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Thomas Kurnicki and Thomas Kurnicki|AUTHOR. 2019. Learn R By Coding. Thomas Kurnicki.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Thomas Kurnicki and Thomas Kurnicki|AUTHOR. Learn R By Coding Thomas Kurnicki, 2019.

MLA Citation, 9th Edition (style guide)

Thomas Kurnicki, and Thomas Kurnicki|AUTHOR. Learn R By Coding Thomas Kurnicki, 2019.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID27c1594d-b6d5-a6ee-8c85-397dafc502a1-eng
Full titlelearn r by coding
Authorkurnicki thomas
Grouping Categorybook
Last Update2023-04-05 18:45:54PM
Last Indexed2024-04-20 02:59:06AM

Book Cover Information

Image Sourcehoopla
First LoadedMar 14, 2023
Last UsedNov 8, 2023

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    [synopsis] => This book is created for students and working professionals that are at the beginning of their journey with R. Prior experience or education in statistics or skills in another programming language is a "good-to-have" as this book will explain basic data manipulation, modeling, and programming frameworks. However, this book takes the reader from step one so that anyone, even without prior experience, can understand the content.
Each chapter will outline basic concepts and challenges and provide countless examples and exercises for each topic. It is highly recommended to follow the order of chapters, as further chapters require understanding of the previous content. At the end of this book, the user should be able to create web applications and dashboards in Shiny.

Some readers might be disappointed due to the limited usage of buzzwords. "Machine learning, deep learning, and artificial intelligence" are, avoided at all cost. Instead, the reader will receive a better understanding of basic programming concepts and will be, exposed to more exercises and hands-on examples.
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