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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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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

Time series data

The planet isn't going anywhere. We are! We're goin' away.
- Philosopher and comedian, George Carlin

Climate change is happening. It always has and will, but the big question, at least from a political and economic standpoint, is the climate change man-made? I'll use this chapter to put econometric time series modeling to the test to try and learn whether carbon emissions cause, statistically speaking, climate change and, in particular, rising temperatures. Personally, I'd like to take a neutral stance on the issue, always keeping in mind the wise tenets that Mr. Carlin left for us in his teachings on the subject.

The first order of business is to find and gather the data. For temperature, I chose the HadCRUT4 annual median temperature time series, which is probably the gold standard. This data is compiled by a cooperative effort of the...

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