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Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning - Softcover
Synopsis
This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics.
Each recipe includes code that you can copy and paste into...
Book Description
Practical solutions from preprocessing to deep learning
About the Author
Chris Albon is data scientist with a Ph.D. in quantitative political science and a decade of experience working in statistical learning, artificial intelligence, and software engineering. He founded New Knowledge, an artificial intelligence company, and previously worked for the crisis and humanitarian non-profit, Ushahidi. Chris also founded and co-hosts of the data science podcast, Partially Derivative.
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- PublisherO'Reilly Media
- Publication date2018
- ISBN 10 1491989386
- ISBN 13 9781491989388
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages366
- Rating
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O'Reilly Media, 2018
ISBN 10: 1491989386
ISBN 13: 9781491989388
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