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Layton -- Learning Data Mining with Python -- 2015 pdf

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Layton -- Learning Data Mining with Python -- 2015 pdf (Size: 3.9 MB)
  Layton -- Learning Data Mining with Python -- 2015.pdf 3.9 MB

Description


Learning Data Mining with Python
Authors: Robert Layton


Genres
Computer Science
Reference
Programming

Description:
The next step in the information age is to gain insights from the deluge of data coming our way. Data mining provides a way of finding this insight, and Python is one of the most popular languages for data mining, providing both power and flexibility in analysis.

This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. Next, we move on to more complex data types including text, images, and graphs. In every chapter, we create models that solve real-world problems.

There is a rich and varied set of libraries available in Python for data mining. This book covers a large number, including the IPython Notebook, pandas, scikit-learn and NLTK.

Each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will gain a large insight into using Python for data mining, with a good knowledge and understanding of the algorithms and implementations.

Goodreads page:
https://www.goodreads.com/book/show/26019855-learning-data-mining-with-python

Please note that this description is auto-generated by a bot, if you find the description incorrect then please report in the comments. Description will be edited accordingly afterwards.

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