Learn about random forest in Python with data from the Adult Census Income dataset (1996) /

This dataset is designed for teaching the random forest in machine learning. The dataset is a subset of data derived from the 1996 Adult Census Income dataset, and the example demonstrates how to use the random forest to predict annual income class with individual features such as demographics, work...

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Bibliographic Details
Main Author:	Shi, Feng (Author)
Corporate Author:	Odum Institute (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications, Ltd., 2019.
Subjects:	Regression analysis. Income. Python (Computer program language) Analyse de régression. Revenu. Python (Langage de programmation) Income Regression analysis
Online Access:	Connect to the full text of this electronic book

Description
Summary:	This dataset is designed for teaching the random forest in machine learning. The dataset is a subset of data derived from the 1996 Adult Census Income dataset, and the example demonstrates how to use the random forest to predict annual income class with individual 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
ISBN:	9781526499363 1526499363