reviewJournal of Educational and Behavioral StatisticsFeb 20, 2019Closed access

Machine Learning Made Easy: A Review of Scikit-learn Package in Python Programming Language

Educational Testing Service · IBM (United States)

Indexed incrossref

Abstract

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.

Citation impact

473
total citations
FWCI
17.12
Percentile
100%
References
11
Citations per year

Authors

2

Topics & keywords

Keywords
  • Python (programming language)
  • Computer science
  • Implementation
  • Artificial intelligence
  • Machine learning
  • Statistical inference
  • Programming language
  • Software engineering
UN Sustainable Development Goals
  • Quality Education
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