September 2019
Beginner to intermediate
494 pages
13h
English
Content preview from Hands-On Application Development with PyCharm
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Questions
- What are some of the main ways of collecting datasets for a data science project?
- Can Git LFS be used with Git? If so, what is the overall process?
- Which type of attribute can have their missing values filled out with the mean? What about the mode?
- What problem does one-hot encoding address? What problem can arise from using one-hot encoding?
- Which type of attribute can benefit from bar charts? What about distribution plots?
- Why is it important to consider the feature correlation matrix for a dataset?
- Aside from predictive tasks, what can we use machine learning models for (like we did in this chapter)?
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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.