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

By: Material type: TextTextPublisher: Indianapolis, IN : Wiley, [2015]Copyright date: ©2015Description: 1 online resource : color illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781119183600
  • 111918360X
  • 9781118961766
  • 1118961765
  • 9781118961759
  • 1118961757
Subject(s): Genre/Form: Additional physical formats: Print version:: No titleDDC classification:
  • 006.31 23
LOC classification:
  • Q325.5
Online resources:
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.
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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.

Online resource; title from PDF title page (Ebsco, viewed April 13, 2015).

Includes bibliographical references and index.