MLJAR Automated Machine Learning for Tabular Data (Stacking, Golden Features, Explanations, and AutoDoc)

This page summarizes the projects mentioned and recommended in the original post on /r/learnmachinelearning
#Machine Learning #Automl #machine-learning-api #automatic-machine-learning #machine-learning-algorithms

Our great sponsors
  • Sonar - Write Clean Python Code. Always.
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Our great sponsors

  • mljar-supervised

    Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

    Link to the source code: https://github.com/mljar/mljar-supervised (MIT License)

  • mljar-examples

    Examples how MLJAR can be used

    All ML experiments have automatic documentation that creates Markdown reports ready to commit to the repo (example1, example2).

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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