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  Author: creativelivenew1   |   29 June 2025   |   Comments icon: 0

Free Download RAML Specification and API Design: Definitive Reference for Developers and Engineers
English | 2025 | ASIN: B0FB9JZW2F | 331 pages | EPUB (True) | 2.80 MB
"RAML Specification and API Design"

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  Author: creativelivenew1   |   29 June 2025   |   Comments icon: 0

Free Download RAG-Driven Generative AI: Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone
English | 2024 | ISBN: 1836200919 | 334 pages | EPUB (True) | 16.77 MB
Minimize AI hallucinations and build accurate, custom generative AI pipelines with RAG using embedded vector databases and integrated human feedback

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  Author: creativelivenew1   |   29 June 2025   |   Comments icon: 0

Free Download R for Data Analysis: The Modern Guide to Statistical Computing, Data Wrangling, and Visualization (Data Analytics Toolkit)
English | 2025 | ASIN: B0DXR22LWG | 219 pages | Epub | 1.99 MB
R for Data Analysis: The Modern Guide to Statistical Computing, Data Wrangling, and Visualization

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  Author: creativelivenew1   |   29 June 2025   |   Comments icon: 0

Free Download R for Data Analysis: A Beginner's Guide to Statistical Modeling and Visualization
English | 2025 | ISBN: B0DW41YKPC | Pages: 168 | Epub | 3.72 MB
R for Data Analysis: A Beginner's Guide to Statistical Modeling and Visualization

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  Author: creativelivenew1   |   29 June 2025   |   Comments icon: 0

Free Download R Programming for Data Science: A Practical Guide with Hands-On Exercises: Master R Studio, Data Wrangling, Analysis, Visualization (ggDescription2), and Essential Packages
English | 2024 | ASIN: B0D4R5LM5D | 227 pages | Epub | 1.52 MB
R Programming for Data Science: A Practical Guide with Hands-On Exercises

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  Author: creativelivenew1   |   29 June 2025   |   Comments icon: 0

Free Download R Programming: R Data Visualization
English | 2022 | ASIN: B09YVKRK2Y | 124 pages | PDF | 954.72 KB
This book is like a friend who advises and guides you on how to use the ggDescription2 package for making data visualizations. With this book, you will learn how to get started with data visualization in R. You will learn basic concepts of graphics, and you will also learn how to perform statistical analyses.

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  Author: creativelivenew1   |   29 June 2025   |   Comments icon: 0

Free Download R Programming: R Data Analysis and Statistics
English | 2022 | ASIN: B09YS3W715 | 195 pages | EPUB (True) | 603.52 KB
Interested in statistical computing ?

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  Author: creativelivenew1   |   29 June 2025   |   Comments icon: 0

Free Download R Programming: R Basics for Beginners
English | 2022 | ASIN: B09YRT4J4D | 198 pages | EPUB (True) | 14.56 MB
R is an open-source statistical environment and programming language that has grown in popularity for data management and analysis in various industries. "R" Programming teaches you all the R you'll ever need in a rapid and painless manner. This accessible tutorial taught you your way around a list with no previous programming expertise and loads of practical examples, step-by-step exercises, and sample code. This book covers the most significant modeling and prediction methods, as well as their applications.

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  Author: creativelivenew1   |   29 June 2025   |   Comments icon: 0

Free Download R Programming: 3 books in 1 : R Basics for Beginners + R Data Analysis and Statistics + R Data Visualization
English | 2022 | ASIN: B09Z37J9GD | 475 pages | PDF | 20.74 MB
Book 1

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  Author: creativelivenew1   |   29 June 2025   |   Comments icon: 0

Free Download R Fast Track Guide - 86 Key Points Every Programmer from Other Languages Should Master
English | 2025 | ISBN: 9798227272614 | Pages: 202 | EPUB (True) | 1.49 MB
R is a powerful language for data analysis, statistical computing, and visualization.This book is designed for programmers from other languages who want to master R quickly and efficiently.It covers 86 key points that every multi-language programmer must know, providing concise explanations and practical examples.Learn R's unique features, such as 1-based indexing, vectors, data frames, factors, and logical values.Understand essential functions, including apply family functions, subsetting data, and named arguments in functions.Discover the best practices for importing, exporting, and manipulating data using dplyr and ggDescription2.Gain insights into RStudio, CRAN, and package management for a streamlined coding experience.By the end of this guide, you will have a strong foundation in R and be able to write efficient, clean, and effective code.Perfect for programmers transitioning to R, data scientists, and analysts looking to enhance their skills.

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