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Mastering Machine Learning with R

You're reading from   Mastering Machine Learning with R Advanced machine learning techniques for building smart applications with R 3.5

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Product type Paperback
Published in Jan 2019
Publisher
ISBN-13 9781789618006
Length 354 pages
Edition 3rd Edition
Languages
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Author (1):
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Cory Lesmeister Cory Lesmeister
Author Profile Icon Cory Lesmeister
Cory Lesmeister
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Toc

Table of Contents (16) Chapters Close

Preface 1. Preparing and Understanding Data 2. Linear Regression FREE CHAPTER 3. Logistic Regression 4. Advanced Feature Selection in Linear Models 5. K-Nearest Neighbors and Support Vector Machines 6. Tree-Based Classification 7. Neural Networks and Deep Learning 8. Creating Ensembles and Multiclass Methods 9. Cluster Analysis 10. Principal Component Analysis 11. Association Analysis 12. Time Series and Causality 13. Text Mining 14. Creating a Package 15. Other Books You May Enjoy

Data overview

For this case study, we will take a look at the full text of State of the Union addresses. The State of the Union is an annual message that the President provides to Congress. The purpose is to provide an economic and diplomatic overview, as well as outline the legislative agenda. I would characterize it as your typical political feel-good propaganda, sprinkled with false hope and enthusiasm. I'm too old and too wise to consider it anything else.

The data is in an R package sotu. It consists of the text and metadata for 236 addresses, both oral and written.

The data is technically not correct about State of the Union addresses. The proper definition for a first-term President's address in their first year in office is address to a joint session.

The learning goals for us are to explore work frequency, Abraham Lincoln's addresses, the sentiment of...

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