Texas Smart Cities - Household Online Shopping Demand in the U.S.: A Machine Learning Approach and Comparative Investigation between 2009 and 2017

Event Status
Scheduled
We leverage unique features from the two latest releases of the National Household Travel Survey (NHTS) data and a machine learning approach to predict household-level online shopping purchases in the US. The modeling and investigation are performed at the national level and for three of the largest cities (New York, Los Angeles, and Houston), with a number of insights obtained. Learn more and add to your calendar. Part of the Texas Smart Cities presentation series.
Date and Time
May 25, 2021, All Day
Event tags
Good Systems