March 2019
Beginner to intermediate
464 pages
10h 57m
English
Content preview from Hands-On Data Science for Marketing
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Engagement rates by offer type
Different types of offers will work differently for the customers. In this section, we are going to look into what types of offers worked best for the engaged customers. Take a look at the following code:
by_offer_type_df = df.loc[ df['Response'] == 'Yes'].groupby([ 'Renew Offer Type']).count()['Customer'] / df.groupby('Renew Offer Type').count()['Customer']
As you can see from this code, we are grouping by the Renew Offer Type column, where we have four different types of offers. We count the number of engaged customers for each type of these renewal offers first by filtering for those with Yes values in the Response column. Then, we are dividing these numbers by the total number of customers in each renewal ...
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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.