Robert Layton

Learning Data Mining with Python - Second Edition (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the Jupyter Notebook, pandas, scikit-learn, and NLTK.
You will gain hands on experience with complex data types including text, images, and graphs. You will also discover object detection using Deep Neural Networks, which is one of the big, difficult areas of machine learning right now.
With restructured examples and code samples updated for the latest edition of Python, each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will have great insights into using Python for data mining and understanding of the algorithms as well as implementations.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 358
• Erscheinungstermin: 27. April 2017
• Englisch
• ISBN-13: 9781787129566
• Artikelnr.: 48569174

Autorenporträt

Daniele Spinetti is a software architect living in Rome. He is an Embarcadero MVP. Delphi/Object Pascal is his favorite tool/programming language, and he is a lead and active member of several projects in the open source community. In his tutoring activities (conferences and training), he likes to talk about innovative topics in software architectures. He's a huge fan of design patterns and TDD.