March 2019
Beginner to intermediate
464 pages
10h 57m
English
Content preview from Hands-On Data Science for Marketing
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Regression analysis with Python
In this section, you will learn how to use the statsmodels package in Python to conduct regression analysis. For those readers that would like to use R instead of Python, for this exercise, you can skip to the next section. We will start this section by looking at the data more closely, using the pandas and matplotlib packages, and then we will discuss how to build regression models and interpret the results by using the statsmodels library.
For this exercise, we will be using one of the publicly available datasets from IBM Watson, which can be found at https://www.ibm.com/communities/analytics/watson-analytics-blog/marketing-customer-value-analysis/. You can follow the link and download the data file in a ...
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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.