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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
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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 – dependent events

Suppose that we would like to find out whether our friend would like to play chess with us in a park in Cambridge, UK. But, this time, we are given different input data:

Temperature

Wind

Season

Play

Cold

Strong

Winter

No

Warm

Strong

Autumn

No

Warm

None

Summer

Yes

Hot

None

Spring

No

Hot

Breeze

Autumn

Yes

Warm

Breeze

Spring

Yes

Cold

Breeze

Winter

No

Cold

None

Spring

Yes

Hot

Strong

Summer

Yes

Warm

None

Autumn

Yes

Warm

Strong

Spring

?

 

So, now we are wondering how the answer to whether our friend would like to play in a park in Cambridge, UK, will change with this different data in regard to the Temperature being Warm, the Wind being Strong, and the Season being Spring.

...
You have been reading a chapter from
Data Science Algorithms in a Week - Second Edition
Published in: Oct 2018
Publisher: Packt
ISBN-13: 9781789806076
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