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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Forecasting
Let's say we've decided from our prior analysis that we are interested in three particular ZIP codes: 10002, 10003, and 10009. How can we use our model to determine what we should pay for a given apartment? Let's now take a look.
First, we need to know what the inputs into the model looked like so that we know how to enter a new set of values. Let's take a look at our X matrix:
X.head()
The preceding code generates the following output:
What we see is that our input is coded with what are called dummy variables. To represent a ZIP code feature, since it is not numerical, dummy coding is used. If the apartment is in 10003, then ...
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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.
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.