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Classification : theory - decision trees and random forest.

Author: Chirag Shah
Publisher: Somerset : Chirag Shah, 2018.
Series: Machine Learning for Data Science, 10.
Edition/Format:   eVideo : Clipart/images/graphics : English
Summary:
Dr. Chirag Shah, PhD, clearly and in detail explains the classification of data using the decision tree process to make predictions. Limitations of the model, and the random forest method as a way to overcome them, are presented.
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Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Chirag Shah
ISBN: 9781526469168 1526469162
OCLC Number: 1091299603
Language Note: Closed-captions in English.
Performer(s): Academic, Chirag Shah PhD.
Description: 1 online resource (1 video file (00:54:51)) : sound, colour.
Series Title: Machine Learning for Data Science, 10.

Abstract:

Dr. Chirag Shah, PhD, clearly and in detail explains the classification of data using the decision tree process to make predictions. Limitations of the model, and the random forest method as a way to overcome them, are presented.

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