By: Dean Abbott, Co-Founder & Chief Data Scientist, SmarterHQ
President, Abbott Analytics
Excerpted and modified from Chapters 3 and 4 of Mr. Abbott’s book Applied Predictive Analytics, Wiley 2014
The Data Understanding stage of a predictive analytics project is intended to uncover the characteristics of the data available for predictive modeling. One key part of Data Understanding is what we might call a Data Audit, where every field is summarized. One purpose of a data audit is to uncover potential problems with the data that should be corrected during data preparation.
This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.
 |
 |
 |
The Machine Learning Times © 2025 • 1221 State Street • Suite 12, 91940 •
Santa Barbara, CA 93190
Produced by: Rising Media & Prediction Impact
