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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Summary of the projects
Let's start with Chapter 1, The Python Machine Learning Ecosystem.
In the first chapter, we began with an overview of ML with Python. We started with the ML workflow, which included acquisition, inspection, preparation, modeling evaluation, and deployment. Then we studied the various Python libraries and functions that are needed for each step of the workflow. Lastly, we set up our ML environment to execute the projects.
Chapter 2, Building an App to Find Underpriced Apartments, as the name says, was based on building an app to find underpriced apartments. Initially, we listed our data to find the source of the apartments in the required location. Then, we inspected the data, and after preparing and visualizing the ...
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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.