January 2019
Intermediate to advanced
390 pages
9h 16m
English
Content preview from Hands-On Artificial Intelligence for IoT
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Detecting crime using San Francisco crime data
The San Francisco city also has an open data portal (https://datasf.org/opendata/) providing data from different departments online. In this section, we take the dataset providing about 12 years (from January 2003 to May 2015) of crime reports from across all of San Francisco's neighborhoods and train a model to predict the category of crime that occurred. There are 39 discreet crime categories, thus it's a multi-class classification problem.
We will use make use of Apache's PySpark and use its easy to use text processing features for this dataset. So the first step will be to create a Spark session:
- The first step is to import the necessary modules and create a Spark session:
from pyspark.ml.classification ...
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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.