This repo contains a curated list of R tutorials and packages for Data Science, NLP and Machine Learning. This also serves as a reference guide for several common data analysis tasks. Curated list of ...

The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

In this notebook, we will learn how to perform data manipulation — and create data processing pipelines — using a powerful package called `dplyr`. `dplyr` is part ...

The functions .C and .Call. provide a standard interface to compiled code that has been linked into R. These functions are explored in the following presentation.