January 2019
Intermediate to advanced
378 pages
8h 27m
English
book
Python Machine Learning Blueprints - Second Edition
by Alexander Combs, Saurabh Chhajed, Michael Roman
Content preview from Python Machine Learning Blueprints - Second Edition
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Visualizing our data
When dealing with geographic data, as we are here, it is immensely valuable to be able to plot that information. One way of doing that is with something called a choropleth map. A choropleth is essentially a geographic heat map. We are going to build a choropleth to create a heat map of average rental price by ZIP code.
The first thing we will need to do this is the ZIP code. Unfortunately for us, our dataset does not contain ZIP code information. We do, however, have the address for the properties. With a little help from the Google Maps API, we can retrieve this information.
Currently, the Google Maps API is a paid API. The rates are reasonable, 1,000 calls for $5, but they also give you a credit of $200 each month ...
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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.