Learning Data Mining with Python is popular PDF and ePub book, written by Robert Layton in 2015-07-29, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Learning Data Mining with Python can be Read Online from any device for your convenience.
Learning Data Mining with Python Book PDF Summary
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.
Detail Book of Learning Data Mining with Python PDF
- Author : Robert Layton
- Release : 29 July 2015
- Publisher : Packt Publishing Ltd
- ISBN : 9781784391201
- Genre : Computers
- Total Page : 344 pages
- Language : English
- PDF File Size : 7,7 Mb
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