Meetup held June 11th, 2019. Thanks to Chicago Women in Big Data for co-organizing! Thanks to IBM for sponsoring drinks and food, and Gogo, Inc for providing space so close to Union & Ogilvie stations!
Developing credit risk models for recommendation engines by Helen Ristov, Manager of Data and Insights & Machine Learning Developer at Capgemeni.
Analysis of Women's National Basketball Association (WNBA) shot distributions with R by Jonathan Mizel, Demand Planning Analyst at Gogo, Inc.
Race for Data presented by Amanda Mordacq, Analyst at Gogo, Inc. A short analysis on race times from the recent JP Morgan Corporate Challenge, using R.
Why You Should smoothScatter() by Dale W.R. Rosenthal.