Books

Although this book is not a comprehensive text that covers every single aspect about creating R packages, I’ve written it in the spirit of an extended tutorial or guide document with a relatively simple working example.

This book aims to help you get started with handling strings in R. It provides an overview of several resources that you can use for string manipulation. It covers useful functions in packages "base" and "stringr", printing and formatting characters, regular expressions, and other tricks.

Data wrangling is one of the most important steps in data science and analytics, for it is claimed that it takes between 80% to 90% of an analyst’s time. Data wrangling goes by many names including data munging, data manipulation, data preparation and data transformations. This book is all about data wrangling and exploration with R.

Learn how to leverage the power of machine learning and deep learning to analyze behavioral patterns from sensors data and electronic records. This book shows you how to explore, preprocess, encode, and visualize your data. Learn introductory machine learning concepts and how to train supervised and unsupervised models using R.

Descubre cómo aprender a ser un Data Scientist a tu propio ritmo con contenido actualizado y con ejemplos de Latinoamérica. Desde análisis de datos hasta algoritmos predicción con machine learning. Con la compra del libro accedes a las 2 versión disponibles: pdf y web y a más de 100 ejercicios incluidos.

This book is actually a cheat sheet about computing matrix algebra operations such as matrix multiplication, inversion and factorization.It is written foR (aspiring) data scientists where with "foR" (capital letter R) I mean the side of data science addicted to R and its gorgeous ecosystem especially including Rcpp, RcppArmadillo and RcppEigen.

This book contains detailed stepwise solutions to Regression problems for beginners. It is a collection of solutions in Python and R programming language.

Learn the ultimate interface...the command-line.

Learn to use R, the tidyverse collection of packages and functional programming concepts to write efficient and readable code.

A primer on RStudio, Git, and GitHub.

Learn ggplot2 in two hours!

Denne bog giver dig en introduktion til programmeringssproget R

Interested in developing Leanpub Courses the way we did for our Chromebook Data Science Course Set? This book will walk you through the necessary steps to streamline content development using our workflow in R.

Data analysis is the process of converting data into useful information. This book introduces data analysis applied to NBA daily fantasy sports (DFS) using the R programming language. You will learn how to wrangle and visualize data, build and test prediction models, and collect and import data from web-based sources.

Understanding the dynamics of epidemiology is indispensable to control infectious diseases. The Dynamics of Infectious Diseases will help you to get a grasp of the fundamentals, and it will show you how to use and develop these aspects with the programming language R.