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Python Artificial Intelligence Projects for Beginners

You're reading from Python Artificial Intelligence Projects for Beginners

Product type Book

Published in Jul 2018

Publisher Packt

ISBN-13 9781789539462

Pages 162 pages

Edition 1st Edition

Languages

Concepts

Artificial Intelligence

Author (1):

Dr. Joshua Eckroth

Table of Contents (11) Chapters

Title Page

Packt Upsell

Contributors

Preface

1. Building Your Own Prediction Models

2. Prediction with Random Forests

3. Applications for Comment Classification

4. Neural Networks

5. Deep Learning

1. Other Books You May Enjoy

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Index

Chapter 2. Prediction with Random Forests

In this chapter, we're going to look at classification techniques with random forests. We're going to use scikit-learn, just like we did in the previous chapter. We're going to look at examples of predicting bird species from descriptive attributes and then use a confusion matrix on them.

Here's a detailed list of the topics:

Classification and techniques for evaluation
Predicting bird species with random forests
Confusion matrix

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Authors (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.

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