April 2015
Beginner
258 pages
5h 48m
English
Content preview from Python Data Science EssentialsBecome 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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Feature creation
Sometimes, you'll find yourself in a situation where features and target variables are not really related. In this case, you can modify the input dataset, apply linear or nonlinear transformations that can improve the accuracy of the system, and so on. It's a very important step of the process because it completely depends on the skills of the data scientist, who is the one responsible for artificially changing the dataset and shaping the input data for a better fit with the classification model.
For example, if you're trying to predict the value of a house and you just know the height, width, and the length of each room, you can artificially build a feature that represents the volume of the house. This is strictly not an observed ...
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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.
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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.