May 2022
Beginner to intermediate
330 pages
7h 19m
English
Content preview from Building Data Science Solutions with Anaconda
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Part 3: Practical Examples and Applications
In this section, you'll work on examples of real-world problems and use all that you have looked at so far to build a more flexible model pipeline. You'll see how you can evaluate it for accuracy and bias, as well as being able to determine whether it's solving the problem at hand.
This section includes the following chapters:
- Chapter 9, Building a Regression Model with scikit-learn
- Chapter 10, Explainable AI – Using LIME and SHAP
- Chapter 11, Tuning Hyperparameters and Versioning Your Model
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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.