August 2019
Beginner
482 pages
12h 56m
English
Content preview from Learn Python by Building Data Science Applications
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Questions
- What is overfitting?
- Why should we use cross-validation?
- Why can it be bad if our metrics are improving on the test set? Which features are useful for improving model performance on cross-validation?
- Why do some features decrease the performance of a decision tree on test data or in cross-validation?
- What is the difference between the random search and grid search algorithms for parameter optimization?
- Why is Git not sufficient for data version control?
- What are the alternatives to DVC for data version control and experimentation logging?
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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.