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You're reading from Python Artificial Intelligence Projects for Beginners

Product typeBook

Published inJul 2018

Reading LevelIntermediate

PublisherPackt

ISBN-139781789539462

Edition1st Edition

Languages

Python

Tools

TensorFlow Scikit-learn

Concepts

Artificial Intelligence

Author (1)

Dr. Joshua Eckroth

Summary

In this chapter we learned about classification and techniques for evaluation, and learned in depth about decision trees. We also created a model to predict student performance.

In the next chapter, we will learn more about random forests and use machine learning and random forests to predict bird species.

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Python Artificial Intelligence Projects for Beginners

Published in: Jul 2018Publisher: PacktISBN-13: 9781789539462

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Author (1)

Dr. Joshua Eckroth

Joshua Eckroth is an Assistant Professor of Computer Science at Stetson University, where he teaches AI, big data mining and analytics, and software engineering. He earned his PhD from The Ohio State University in AI and Cognitive Science. Dr. Eckroth also serves as Chief Architect at i2k Connect, which focuses on transforming documents into structured data using AI and enriched with subject matter expertise. Dr. Eckroth has previously published two video series with Packt, Python Artificial Intelligence Projects for Beginners and Advanced Artificial Intelligence Projects with Python. His academic publications can be found on Google Scholar.
Read more about Dr. Joshua Eckroth

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