Founded by Josh Reich and Drew Conway, the New York Open Statistical Programming Meetup started as the New York R Meetup with a handful of people in an office at Union Square Ventures. Since then it has grown to over 8,000 members and has been hosted at NYU, Columbia, AOL, iHeartRadio, eBay, Work-Bench and other locations.

Our mission is to spread knowledge of statistical programming techniques in open-source languages such as R, Python, Julia and Go, and data science in general. Another important aspect is community building and socializing. The meetups start with pizza, followed by a 45-90 minute talk, ending with a trip to the local bar.


To attend please visit the meetup page.

Presentations and Videos

Whenever possible we make presentations available at the Presentations page.

We now stream and host videos of meetups on Facebook and YouTube and older videos are scattered on a variety of services. They are also listed on the Presentations page.


Job openings and other announcements are on the meetup discussion board.

Upcoming Meetup

Random Forests: What, Why and How

April 16, 2018 05:30:00 PM

It has become our tradition to hold R Week in April with both a Meetup and the R Conference ( in the same week. For this mega dose of R, we have Andy Liaw, the author of the randomForest package.

Members of the meetup get a 20% discount with code nyhackr.

Thank you to eBay NYC ( for hosting us.

About the Talk:

Random Forests have been a very popular machine learning method for nearly two decades since its introduction by Leo Breiman. This classification and regression algorithm has proven itself very effective in many applications, and is robust as well as easy to use. In this talk we will briefly explain what the algorithm is. We discuss on an intuitive level what is needed for ensemble methods to work, and how random forests achieve that. Comparison will be made with other tree ensemble methods such as boosting. Based on the intuition, we will discuss possibilities for tuning random forests for better performance. We will also touch on how the variable importance idea that Breiman introduced in random forests can be applied to other Machine Learning methods.

About Andy:

Andy Liaw is a Senior Principal Scientist in Biometrics Research, Merck & Co., Inc., where he applies statistics and machine learning to complex chemical and biological data to address problems in drug discovery. He is the author of the randomForest package for R. He holds a Ph.D. and M.S. in Statistics from Texas A&M University.

Pizza ( begins at 6:30, the talk starts at 7, then after we head to the local bar.


The nyhackr website was built as a RMarkdown website and the source code can accessed by the community on GitHub.

How to contribute

If you wish to contribute to the website the process is pretty simple.

  1. Fork and clone the repository (an example can be found here)
  2. Create a new branch for your changes (warning, this step cannot be done in RStudio!)
  3. Make your changes. You can build and view your local version by using rmarkdown::render_site()
  4. When you are done, submit a pull request. Your changes might not appear on the public site right away as we have a development version for making sure changes don't break the site.