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Versioning R model objects in SQL Server | Locke Data

Versioning R model objects in SQL Server | Locke Data | Digital Analytics | Scoop.it
It's important to be versioning R model objects in production. Find out how to store R model objects in SQL Server in a versioned way.
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Learn Gradient Boosting Algorithm for better predictions (with codes in R)

Learn Gradient Boosting Algorithm for better predictions (with codes in R) | Digital Analytics | Scoop.it
This article explains concept of gradient boosting algorithm / method in R using an example. This is used for improving prediction accuracy
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R for Data Science

R for Data Science | Digital Analytics | Scoop.it
This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science.
Via ukituki
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Basic Data Exploration in R

Basic Data Exploration in R | Digital Analytics | Scoop.it
When you're cleaning up data, you usually end up using a 5-8 functions a ton of times, and then a few more once or twice. Here are those 5-8 functions I find…
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R vs Python: head to head data analysis

R vs Python: head to head data analysis | Digital Analytics | Scoop.it
Dataquest Blog -- articles about data science
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Global Bigdata Conference

Global Bigdata Conference | Digital Analytics | Scoop.it
When it comes to data science, there’s no one best programming language. There are a few standouts, however, each with its own specialties, as well as packages, libraries, and extensions that further enhance their capabilities. We’ve already covered some of the basics of data science tools.
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bookdown: Authoring Books and Technical Documents with R Markdown

bookdown: Authoring Books and Technical Documents with R Markdown | Digital Analytics | Scoop.it
A guide to authoring books with R Markdown, including how to generate figures and tables, and insert cross-references, citations, HTML widgets, and Shiny apps in R Markdown. The book can be exported to HTML, PDF, and e-books (e.g. EPUB). The book style is customizable. You can easily write and preview the book in RStudio IDE or other editors, and host the book wherever you want (e.g. bookdown.org).
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Applied Spatial Data Science with R

Applied Spatial Data Science with R | Digital Analytics | Scoop.it
Applied Spatial Data Science with R Introduction I recently started working on my Ph.D dissertation which utilizes a vast amount of different spatial data types. During the process, I discovered that there were a lot of concepts about using...

Via Miyul Park
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001 Professor V's Introduction to R Programming for Beginners

001 Professor V's Introduction to R Programming for Beginners.

Via Club de TeleMatique
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