May 2015
Beginner to intermediate
225 pages
13h 46m
English
book
Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python
by Thomas W. Miller
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Tables
1.1 Preference Data for Mobile Communication Services
2.1 Logistic Regression Model for the Sydney Transportation Study
2.2 Logistic Regression Model Analysis of Deviance
5.1 Logistic Regression Model for the AT&T Choice Study
5.2 Logistic Regression Model Analysis of Deviance
5.3 Evaluation of Classification Models for Customer Retention
7.1 Analysis of Deviance for New Product Field Test: Procter & Gamble Laundry Soaps
8.1 Bobbleheads and Dodger Dogs
8.2 Regression of Attendance on Month, Day of Week, and Bobblehead Promotion
9.1 Market Basket for One Shopping Trip
9.2 Association Rules for a Local Farmer
10.1 Contingency Table of Top-ranked Brands and Most Valued Attributes
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.