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Data Science Algorithms in a Week

You're reading from   Data Science Algorithms in a Week Top 7 algorithms for scientific computing, data analysis, and machine learning

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789806076
Length 214 pages
Edition 2nd Edition
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Authors (2):
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David Toth David Toth
Author Profile Icon David Toth
David Toth
David Natingga David Natingga
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David Natingga
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Toc

Table of Contents (12) Chapters Close

Preface 1. Classification Using K-Nearest Neighbors 2. Naive Bayes FREE CHAPTER 3. Decision Trees 4. Random Forests 5. Clustering into K Clusters 6. Regression 7. Time Series Analysis 8. Python Reference 9. Statistics 10. Glossary of Algorithms and Methods in Data Science
11. Other Books You May Enjoy

Playing chess example

We will again use the examples from Chapter 2, Naive Bayes, and Chapter 3, Decision Tree, as follows:

Temperature

Wind

Sunshine

Play

Cold

Strong

Cloudy

No

Warm

Strong

Cloudy

No

Warm

None

Sunny

Yes

Hot

None

Sunny

No

Hot

Breeze

Cloudy

Yes

Warm

Breeze

Sunny

Yes

Cold

Breeze

Cloudy

No

Cold

None

Sunny

Yes

Hot

Strong

Cloudy

Yes

Warm

None

Cloudy

Yes

Warm

Strong

Sunny

?

 

However, we would like to use a random forest consisting of four random decision trees to find the result of the classification.

Analysis

We are given M=4 variables from which a feature can be classified. Thus, we choose...

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