Books

These are some books written by members of the meetup.

Text Mining with R

Julia Silge & David Robinson

Learning R

Richard Cotton

Python for Data Analysis

Wes McKinney

Feature Engineering and Selection: A Practical Approach for Predictive Models

Max Kuhn

Analyzing the Analyzers

Harlan Harris, Sean Patrick Murphy & Marck Vaisman

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

Hadley Wickham

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

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

Hadley Wickham

Data Analysis Using Regression and Multilevel/Hierarchical Models

Andrew Gelman & Jennifer Hill

Testing R Code

Richard Cotton

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

Hadley Wichkam

Service-Oriented Design with Ruby and Rails

Paul Dix

Applied Predictive Modeling

Max Kuhn & Kjell Johnson

Getting Started with D3

Mike Dewar

Data Science on AWS

Chris Fregly & Antje Barth

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

Richard Cotton

Introduction to Empirical Bayes: Examples from Baseball Statistics

David Robinson

Pandas for Everyone: Python Data Analysis

Daniel Y. Chen

A Computational Approach to Statistical Learning

Bryan Lewis and Michael Kane

R for Everyone

Jared P. Lander

Teaching Statistics: A Bag of Tricks

Andrew Gelman & Deborah Nolan

Machine Learning for Email

Drew Conway & John Myles White

Data Science at the Command Line

Jeroen Janssens

A Quantitative Tour of the Social Sciences

Andrew Gelman & Jeronimo Cortina

Forecasting: principles and practice

Rob Hyndman

Machine Learning for Hackers

Drew Conway & John Myles White

Bad Data

Q. Ethan McCallum

Doing Data Science

Cathy O'Neil & Rachel Schutt

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

JD Long

Advanced R: Second Edition

Hadley Wickham

Parallel R

Q. Ethan McCallum

Bandit Algorithms for Website Optimization

John Myles White

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

Tony Fischetti

Deep Learning with R

JJ Allaire