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An Introduction to Data Science With Python

First Edition

by Jeffrey S. Saltz and Jeffrey M. Stanton

Student Resources

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

Chapter 11 - Classic Classifiers

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