Download The Ultimate R Programming & Machine Learning Course

What you would learn in The Ultimate R Programming & Machine Learning Course?

The R language is functional at a high level and is one of the essential tools for statistics and data science. This course is a solution-oriented one. Your guide, guiding you through the various programming aspects of R. It will begin by learning how to configure R along with R Studio before looking into R packages and functions, data structures, controls flow, and loops.

Highly efficient yet complex, R can be challenging for novices and people unfamiliar with its peculiar behavior. This course is explicitly focused on R as well as its R ecosystem will introduce users to the tools used for user data. It's the answer - a practical and easy method of learning R and building a solid and comprehensive understanding of the R language. Through practical examples, you'll learn an array of powerful R tools and R best practices to help you gain a more excellent knowledge of how to work with data. You'll learn about the data structures of R and techniques for data processing and the most well-known R tools to increase your productivity right from the beginning.

Learn the fundamentals of R and then dive into the techniques of programming and frameworks that will help your R code shine. You'll be taught how to make advanced statistical plots and advanced graphs using the mighty ggplot2 libraries. You'll be able to quickly gain a greater understanding of the behavior of R. At the same time; you master the basics of data analysis, web scraping, databases, high-performance computing, and the writing of documents.

After the course, you'll be an experienced R programmer who can solve problems using the appropriate methods.

Course Content:

• The introduction to the R & R console
• Building Blocks of R Language
• Install and Load Packages using R studio
• Understanding R variables
• Different types of data in R.
• Learning to predict and assess models
• Learn to apply machine learning techniques with the vast array of R programs
• In-depth understanding of the use of machine-learning tools within the industry
• Implementing the most advanced ideas in machine learning
• Making data manipulations using R efficiently, preparing it for analysis
• Learning how the process of working complicated data differs from normal computation
• Understanding the reasons and methods to design test and training data sets that can be used for analysis

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