PyDistrict™: Sept. 29th Meetup

Details
Join us for our monthly virtual PyDistrict (formerly Django District). We'll have one great speaker who'll be presenting.

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Speaker: Justin Shelton

Title: Ball Don't Lie: Extracting Truth from Basketball Games with Python

Plain-text can sometimes be a gold mine for analytical information, but text is not exactly a well-formed API. We will go in depth on how we tackle the problem of tagging basketball plays for the purposes of advanced metrics with minimal work, how we present those metrics, and what to do when the data is a lie. Attendees will learn event modeling for human-readable text; what metrics and advanced calculations are possible with seemingly basic data; and data triage/human input on ground-truth data.

About:
Justin Shelton is the CTO of Pivot Analysis, a company dedicated to basketball analytics. He helped create and maintains a system for tracking advanced basketball analytics, showcasing the effects of players on their teams and surfacing team insights for coaches and analysts. Before coming to Pivot, Justin spent 11 years in the defense and intelligence communities helping analysts create better products from their data. Justin is a Virginia native, but family drew him to Wisconsin where he now resides with his wife and two kids. He has a Bachelor's Degree in Computer Science from Radford University in Virginia

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Join our Scheduled Zoom Meeting

Topic: Sept. PyDistrict
Time: Sep 29, 2020 06:00 PM Eastern Time (US and Canada)
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