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Applied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your data - Softcover
Synopsis
Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.
Key Features
- Get up and running with the Jupyter ecosystem and some example datasets
- Learn about key machine learning concepts such as SVM, KNN classifiers, and Random Forests
- Discover how you can use web scraping to gather and parse your own bespoke datasets
Book Description
...About the Author
Alex Galea has been professionally practicing data analytics since graduating with a Master's degree in Physics from the University of Guelph, Canada. He developed a keen interest in Python while researching quantum gases as part of his graduate studies. Alex is currently doing web data analytics, where Python continues to play a key role in his work. He is a frequent blogger about data-centric projects that involve...
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- PublisherPackt Publishing
- Publication date2018
- ISBN 10 1789958172
- ISBN 13 9781789958171
- BindingPaperback
- LanguageEnglish
- Number of pages192
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