Treffer: Machine Learning Made Easy: A Review of 'Scikit-learn' Package in Python Programming Language
Title:
Machine Learning Made Easy: A Review of 'Scikit-learn' Package in Python Programming Language
Language:
English
Authors:
Source:
Journal of Educational and Behavioral Statistics. Jun 2019 44(3):348-361.
Availability:
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Peer Reviewed:
Y
Page Count:
14
Publication Date:
2019
Document Type:
Fachzeitschrift
Journal Articles<br />Reports - Evaluative
Descriptors:
DOI:
10.3102/1076998619832248
ISSN:
1076-9986
Entry Date:
2019
Accession Number:
EJ1214827
Database:
ERIC
Weitere Informationen
Machine learning is a popular topic in data analysis and modeling. Many different machine learning algorithms have been developed and implemented in a variety of programming languages over the past 20 years. In this article, we first provide an overview of machine learning and clarify its difference from statistical inference. Then, we review "Scikit-learn," a machine learning package in the Python programming language that is widely used in data science. The "Scikit-learn" package includes implementations of a comprehensive list of machine learning methods under unified data and modeling procedure conventions, making it a convenient toolkit for educational and behavior statisticians.
As Provided