MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack

Python Submitted 15 March 2018Accepted 22 April 2018
Review

Editor: @arokem
Reviewers: @mlgill

Authors

Sebastian Raschka (0000-0001-6989-4493)

Citation

Raschka, (2018). MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack. Journal of Open Source Software, 3(24), 638, https://doi.org/10.21105/joss.00638
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machine learning data science association rule mining ensemble learning feature selection

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ISSN 2475-9066