March 2019
Beginner to intermediate
464 pages
10h 57m
English
Content preview from Hands-On Data Science for Marketing
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Predicting the 3 month CLV
In this section, we are going to build a model that predicts the 3 month customer value using the pandas and scikit-learn packages in Python. We are going to first slice the data into chunks of 3 months and take the last 3 months' data as the target for predictions and the rest as the features. We will first prepare our data for model building and then train a linear regression model for the 3 month customer value predictions.
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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.