You're reading from Building Data Science Solutions with Anaconda

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Published inMay 2022

PublisherPackt

ISBN-139781800568785

Edition1st Edition

Tools

Anaconda

Concepts

Data Science

Author (1)

Dan Meador

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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Building Data Science Solutions with Anaconda

Published in: May 2022Publisher: PacktISBN-13: 9781800568785

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Author (1)

Dan Meador

Dan Meador is an Engineering Manager at Anaconda and is the creator of Conda as well as a champion of open source at Anaconda. With a history of engineering and client facing roles, he has the ability to jump into any position. He has a track record of delivering as a leader and a follower in companies from the Fortune 10 to startups.
Read more about Dan Meador

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