Publisher: Packt Publishing

R for Data Science. Learn and explore the fundamentals of data science with R

Dan Toomey

R Graph Essentials

David Lillis, David A Lillis

R Graphs Cookbook. Over 70 recipes for building and customizing publication-quality visualizations of powerful and stunning R graphs

Jaynal Abedin, Jaynal Abedin, Hrishi Mittal

R High Performance Programming. Overcome performance difficulties in R with a range of exciting techniques and solutions

Aloysius Shao Qin Lim, Tjhi W Chandra,...

R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

Dipanjan Sarkar, Raghav Bali

R Machine Learning Essentials. Gain quick access to the machine learning concepts and practical applications using the R development environment

Michele Usuelli

R Machine Learning Projects. Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5

Dr. Sunil Kumar Chinnamgari

R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms

Nathan H. Danneman, Richard Heimann, Pradeepta Mishra,...