Books

These are some books written by members of the meetup.

Testing R Code

Richard Cotton

Learning R: A Step-by-Step Function Guide to Data Analysis

Richard Cotton

R for Everyone

Jared P. Lander

ggplot2: Elegant Graphics for Data Analysis (Use R!)

Hadley Wickham

Doing Data Science

Cathy O'Neil & Rachel Schutt

Feature Engineering and Selection: A Practical Approach for Predictive Models

Max Kuhn

Advanced R: Second Edition

Hadley Wickham

Learning R

Richard Cotton

Machine Learning for Email

Drew Conway & John Myles White

Data Science at the Command Line

Jeroen Janssens

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Hadley Wickham

Data Analysis with R - Second Edition: A comprehensive guide to manipulating, analyzing, and visualizing data in R

Tony Fischetti

Applied Predictive Modeling

Max Kuhn & Kjell Johnson

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

JD Long

Python for Data Analysis

Wes McKinney

Data Analysis Using Regression and Multilevel/Hierarchical Models

Andrew Gelman & Jennifer Hill

Machine Learning for Hackers

Drew Conway & John Myles White

Pandas for Everyone: Python Data Analysis

Daniel Y. Chen

Service-Oriented Design with Ruby and Rails

Paul Dix

Introduction to Empirical Bayes: Examples from Baseball Statistics

David Robinson

A Computational Approach to Statistical Learning

Bryan Lewis and Michael Kane

R Packages: Organize, Test, Document, and Share Your Code

Hadley Wichkam

Teaching Statistics: A Bag of Tricks

Andrew Gelman & Deborah Nolan

Forecasting: principles and practice

Rob Hyndman

Data Science on AWS

Chris Fregly & Antje Barth

Text Mining with R

Julia Silge & David Robinson

Parallel R

Q. Ethan McCallum

Deep Learning with R

JJ Allaire

A Quantitative Tour of the Social Sciences

Andrew Gelman & Jeronimo Cortina

Bad Data

Q. Ethan McCallum

Getting Started with D3

Mike Dewar

Red State, Blue State, Rich State, Poor State

Andrew Gelman

Bayesian Data Analysis

Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari & Donald B. Rubin

Analyzing the Analyzers

Harlan Harris, Sean Patrick Murphy & Marck Vaisman

Bandit Algorithms for Website Optimization

John Myles White