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

Dan Toomey

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

Dr. Sunil Kumar Chinnamgari

R Programming By Example. Practical, hands-on projects to help you get started with R

Omar Trejo Navarro

R Programming Fundamentals. Deal with data using various modeling techniques

Kaelen Medeiros

R Web Scraping Quick Start Guide. Techniques and tools to crawl and scrape data from websites

Olgun Aydin

Recurrent Neural Networks with Python Quick Start Guide. Sequential learning and language modeling with TensorFlow

Simeon Kostadinov

Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash

Alexander Leibzon, Yael Leibzon

Regression Analysis with R. Design and develop statistical nodes to identify unique relationships within data at scale

Giuseppe Ciaburro