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blog > authors > Glen Ferguson
Glen Ferguson

Glen Ferguson

Glen is an experienced professional who has used data to solve problems in many domain areas. He is currently a data scientist at NYC Data Science Academy, where he has used real-world data to solve problems. Glen worked as a scientist at the National Bioenergy Center, where he made and studied large datasets to improve biofuels and design new batteries. He was also a scientist at Argonne National Laboratory where he studied how data could be used to improve batteries and how to improve commodity chemical production. His work at these institutions resulted in a series of publications in peer-reviewed scientific journals, including invited papers and presentations.

Articles Contributed by Glen Ferguson

Capstone

KnoWhere: An App for Automatically Profiling your Commute using Smart Phone Sensor Data

by Glen Ferguson, William Best, Emil Parikh and Andrew Feierman
Apr 2, 2017
Introduction The commute is a great equalizer. Regardless of location or income, nearly 95% of working Americans use a car or...
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Machine Learning

Understanding Class Imbalance and Ensemble Modeling in the Two-Sigma Connect: Rental Listing Inquiries

by Glen Ferguson, Emil Parikh and Jason Chen
Mar 12, 2017
Introduction The Two-Sigma connect challenge was to predict interest-level—high, medium, or low—of RentHop apartment listings in the New...
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Web Scraping

Drama vs. Words: Does the story or the performance determine the rating of an audiobook

by Glen Ferguson
Feb 20, 2017
Github In 2016, the Wall Street Journal wrote that audiobooks were the fastest growing format in publishing. As...
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Student Works

Visualizing the Global Wine Trade

by Glen Ferguson
Feb 6, 2017
Introduction Code on GitHub Wine is a luxury good produced from the fermentation of fresh grapes. The European...
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