March 2021
Beginner to intermediate
498 pages
12h 3m
English
Content preview from Cleaning Data for Effective Data Science
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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.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.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.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.
7
Feature Engineering
People come to me as a data scientist with their data. Then my job becomes part data-hazmat officer, part grief counselor.
–Anonymous
Chapter 6, Value Imputation looked at filling in missing values. In Chapter 5, Data Quality, we touched on normalization and scaling, which adjust values to artificially fit certain numeric or categorical patterns. Both of those earlier topics come close to the subject of this chapter, but here we focus more directly on the creation of synthetic features based on raw datasets. Whereas imputation is a matter of making reasonable guesses about what missing values might be, feature engineering is about changing the representational form of data, but in ways that are deterministic and often ...
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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.