Learn about support vector machine in Python with data from the Adult Census Income dataset (1996) /

This dataset is designed for teaching the support vector machine (SVM) methodology. The dataset is a subset of the 1996 Adult Census Income dataset, and the example demonstrates how to use the SVM to predict the annual income classification of an individual with his or her features such as demograph...

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Bibliographic Details
Main Author:	Shi, Feng, active 2019 (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications, Ltd., 2019.
Subjects:	Support vector machines. Income. Demographic surveys. Python (Computer program language) Machines à vecteurs supports. Revenu. Enquêtes démographiques. Python (Langage de programmation) Demographic surveys Income Support vector machines
Online Access:	Connect to the full text of this electronic book

Description
Summary:	This dataset is designed for teaching the support vector machine (SVM) methodology. The dataset is a subset of the 1996 Adult Census Income dataset, and the example demonstrates how to use the SVM to predict the annual income classification of an individual with his or her features such as demographics, working status, marital status, etc. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Python.
Physical Description:	1 online resource : illustrations
Bibliography:	Includes bibliographical references and index.
ISBN:	9781526499585 1526499584