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Helper functions to automate Exploratory Data Analysis. The focus is mainly on typical Machine Learning datasets, where there is a target variable (numerical or categorical) and the aim of EDA is to get a sense of the data and whether the variables may be useful for the predictio
pip install mlautoeda
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MLAutoEDA publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.
Declared Python classifiers: 3.6, 3.7, 3.8, 3.9.
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PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .
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