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An Introduction to Data Science With Python
First Edition
by
Jeffrey S. Saltz
and
Jeffrey M. Stanton
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Student Resources
Chapter 1 - Begin at the Beginning With Python
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Chapter 2 - Rows and Columns
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Chapter 3 - Data Munging
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Chapter 4 - What’s My Function?
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Chapter 5 - Beer, Farms, Peas, and Statistics
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Chapter 6 - Sample in a Jar
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Chapter 7 - Storage Wars
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Chapter 8 - Pictures vs. Numbers
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Chapter 9 - Map Magic
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Chapter 10 - Linear Models
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Chapter 11 - Classic Classifiers
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Chapter 12 - Left Unsupervised
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Chapter 13 - Words of Wisdom: Doing Text Analysis
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Chapter 14 - In the Shallows of Deep Learning
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Chapter 10 - Linear Models
