PyData Triangle Q2-2018 Meetup

May 2, 2018 · Morrisville, United States of America

• Peter Baumgartner, Data Scientist, RTI International
Improving Estimates of Arrest Related Deaths with Machine Learning
In 2015, the Bureau of Justice Statistics launched a redesign of the Arrest Related Deaths (ARD) program to include multiple methods of identifying and confirming arrest related deaths. In this talk we'll walk through the technical aspects of the redesign, including how natural language processing, machine learning, and the python ecosystem played a key role in reducing the volume of incoming news articles for review by 99%. This is a “behind the scenes” look at a project FiveThirtyEight declared one of the best data stories of 2016.
• Amy Nail, Lead Consultant & Owner, Honestat Statistics & Analytics
Determining Cause and Effect from Observational Data
For a very specific problem situation--determining the effect of a binary categorical variable such as treatment vs control--I will compare different methods used to achieve the balance that a controlled experiment/randomized controlled trial would typically be used to achieve.


Lightning Talks
• YOU! Sign up for a 5 minute presentation slot

• 6:00 - 6:15: Mingle and Food
• 6:15 - 7:45: Presentations
• 8:00 Buy Your Own Social at TBD Misc:

The PyData code of conduct ( ) is enforced at this Meetup. Attendees violating these rules may be asked to leave the meetup without a refund at the sole discretion of the meetup organizer.

Propose a talk or tutorial for the meetup. Contact any of the organizers Eric Dill, Chris Calloway and Ginny Ghezzo, through meetup messages.

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Event organizers
  • PyData Triangle

    PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to)

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