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The Ultimate R Programming & Machine Learning Course - Druckversion +- Forum Rockoldies (https://rockoldies.net/forum) +-- Forum: Fotobearbeitung - Photoshop (https://rockoldies.net/forum/forumdisplay.php?fid=16) +--- Forum: E-Learning, Tutorials (https://rockoldies.net/forum/forumdisplay.php?fid=18) +--- Thema: The Ultimate R Programming & Machine Learning Course (/showthread.php?tid=48188) |
The Ultimate R Programming & Machine Learning Course - Panter - 21.03.2022 ![]() The Ultimate R Programming & Machine Learning Course Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 6.15 GB | Duration: 9h 58m What you'll learn Introduction to R & R console Building Blocks in R language Install and Load Packages with R studio Understanding R variables Different data types in R Requirements A PC or Mac Internet Access Description R language is a high-level functional language and one of the must-know tools for data science and statistics. This solution-based course will be your guide, taking you through different programming aspects with R. You'll start by understanding how to set up R and R Studio, followed by exploring R packages, functions, data structures, control flow, and loops. Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. This course focused on R and the R ecosystem, introduces you to the tools for working with data. It is the solution - an easy and practical way to learn R and develop a broad and consistent understanding of the language. Through hands-on examples you'll discover powerful R tools, and R best practices that will give you a deeper understanding of working with data. You'll get to grips with R's data structures and data processing techniques, as well as the most popular R packages to boost your productivity from the offset. Start with the basics of R, then dive deep into the programming techniques and paradigms to make your R code excel. You'll learn how to build statistical and advanced plots using the powerful ggplot2 library. Advance quickly to a deeper understanding of R's behavior as you learn common tasks including data analysis, databases, web scraping, high performance computing, and writing documents. At the end of the course, you'll be a confident R programmer adept at solving problems with the right techniques. Who this course is for Programmers Data Scientists Anyone interested in R & Machine Learning ![]() Download from RapidGator Download from Rapidgator: Download from NitroFlare |