Learning Data Mining with Python

Author:   Robert Layton
Publisher:   Packt Publishing Limited
ISBN:  

9781784396053


Pages:   344
Publication Date:   02 April 2023
Format:   Undefined
Availability:   In Print   Availability explained
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Learning Data Mining with Python


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Author:   Robert Layton
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
Dimensions:   Width: 7.50cm , Height: 1.80cm , Length: 9.30cm
Weight:   0.590kg
ISBN:  

9781784396053


ISBN 10:   1784396052
Pages:   344
Publication Date:   02 April 2023
Audience:   General/trade ,  General
Format:   Undefined
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Robert Layton has a PhD in computer science and has been an avid Python programmer for many years. He has worked closely with some of the largest companies in the world on data mining applications for real-world data and has also been published extensively in international journals and conferences. He has extensive experience in cybercrime and text-based data analytics, with a focus on behavioral modeling, authorship analysis, and automated open source intelligence. He has contributed code to a number of open source libraries, including the scikit-learn library used in this book, and was a Google Summer of Code mentor in 2014. Robert runs a data mining consultancy company called dataPipeline, providing data mining and analytics solutions to businesses in a variety of industries.

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