December 2018
Intermediate to advanced
274 pages
7h 46m
English
Content preview from Machine Learning for Mobile
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Technical requirements
The following software needs to be installed on the developer machine:
- Python
- Xcode in a Mac environment
The exercise programs for this chapter can be downloaded from our GitHub repository at https://github.com/PacktPublishing/Machine-Learning-for-Mobile/tree/master/housing%20price%20prediction.
In the following program, we are going to use pandas, numpy, and scikit-learn to create the model. So, install these packages from the pip package manager using the following command from the Command Prompt/Terminal:
pip install scikit-learnpip install numpypip install pandas
In order to convert the created model to the Core ML format, we need to use the Core ML scikit-learn Python converter provided by Apple:
pip install ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events 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.