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Learning Data Mining with Python

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关注 过往记忆大数据 微信公众号,回复 3941 获取本书下载地址。

子标题:Harness the power of Python to analyze data and create insightful predictive models

Learning Data Mining with Python
作者:
Robert Layton
ISBN-10:
1784396052
出版年份:
2015
页数:
344
语言:
English
文件大小:
40.1 MB
文件格式:
PDF

图书描述

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.

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