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Machine Learning in Python : essential techniques for predictive analysis / Michael Bowles.

By: Bowles, Michael [author.].
Material type: TextTextPublisher: Indianapolis, IN : New Delhi : John Wiley & Sons, Inc., c2015. [reprint 2018]Description: xxix, 326 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9788126555925.Subject(s): Machine learning | Python (Computer program language) | Python (Lenguaje de programación para computadora)DDC classification: 006.31
Contents:
The two essential algorithms for making predictions -- Understand the problem by understanding the data -- Predictive model building : balancing performance, complexity, and big data -- Penalized linear regression -- Building predictive models using penalized linear methods -- Ensemble methods -- Building ensemble models with Python.
List(s) this item appears in: Computer Science and Engineering (CSE)
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Book BAIUST Library
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006.31 B681m (Browse shelf) 3 Available 010390

Includes bibliographical references and index.

The two essential algorithms for making predictions -- Understand the problem by understanding the data -- Predictive model building : balancing performance, complexity, and big data -- Penalized linear regression -- Building predictive models using penalized linear methods -- Ensemble methods -- Building ensemble models with Python.

Computer Science and Engineering CSE

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