Machine Learning in Python essential techniques for predictive analysis

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

Author/creator	Bowles, Michael
Format	Electronic and Book
Publication Info	Indianapolis, IN : John Wiley & Sons, Inc., 2015.
Description	xxix, 326 pages : illustrations ; 24 cm
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subject(s)	Machine learning. Python (Computer program language) Python (Lenguaje de programación para computadora)

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.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2015930541
ISBN	9781118961742 (paperback)
ISBN	1118961749 (paperback)

Library	Location	Call Number	Status	Item Actions
	Electronic Resources	Access Content Online	✔ Available