March 2019
Beginner to intermediate
464 pages
10h 57m
English
Content preview from Hands-On Data Science for Marketing
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Continuous variables
In linear regression, including logistic regression, it is straightforward to fit a regression model when the feature variables are continuous, as it just needs to find a linear combination of feature variables with numerical values for estimating the output variables. In order to fit a regression model with continuous variables, let's first take a look at how to get the data types of the columns in a pandas DataFrame. Take a look at the following:
As you can see from this Jupyter Notebook screenshot, the dtype attribute of a pandas Series object tells you what type of data it contains. As you can see from this snapshot, ...
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.