NYU Deep Learning Spring 2020

Recitation materials

NYU Deep Learning Spring 2021

➡️ Text-as-Data lab materials for Spring 2020

Materials for the Applied Machine Learning Workshop in New York

The tidyverse style guide for R code

Code and some readings for lab sections of Text as Data, NYU Spring 2016

Additional themes, scales, and geoms for ggplot2

Materials for workshop "Data Visualization with R and ggplot2"

The lecture slides for Coursera's Data Analysis class

Code and article for the Political Methodologist article on Amazon EC2

Simple scripts to setup a fresh data science box using an Ubuntu 12.04.* LTS 64-bit server running on an EC2

An R Package for the Structural Topic Model

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Data and code behind the articles and graphics at FiveThirtyEight

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Notes on public version control for political scientists.

miscellaneous R functions I've found useful

A curated list of awesome R packages, frameworks and software.

tools for working with streams of data

extract text from any document. no muss. no fuss.

Themes for ggplot2.

exploratory data analysis using random forests

Simple web scraping for R

Friendly regular expressions for R.

Writing reviews of academic papers

A modern LaTeX Beamer theme

Latent Dirichlet Allocation (LDA) model for Microblogs (Twitter, weibo etc.)

CRAN Task View: High-Performance Computing with R