R is the established language of data analysts and statisticians around the world. And you shouldnâ€™t be afraid to use itâ€¦
This Learning Path will take you through the fundamentals of R and demonstrate how to use the language to solve a diverse range of challenges through machine learning. Accessible yet comprehensive, it provides you with everything you need to become more a more fluent data professional, and more confident with R.
In the first module youâ€™ll get to grips with the fundamentals of R. This means youâ€™ll be taking a look at some of the details of how the language works, before seeing how to put your knowledge into practice to build some simple machine learning projects that could prove useful for a range of real world problems.
For the following two modules weâ€™ll begin to investigate machine learning algorithms in more detail. To build upon the basics, youâ€™ll get to work on three different projects that will test your skills. Covering some of the most important algorithms and featuring some of the most popular R packages, theyâ€™re all focused on solving real problems in different areas, ranging from finance to social media.
This Learning Path has been curated from three Packt products:
R Machine Learning By ExampleÂ By Raghav Bali, Dipanjan Sarkar
Machine Learning with R – Second EditionÂ By Brett Lantz
Mastering Machine Learning with RÂ By Cory Lesmeister