mljar-supervised (conda): The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist. It abstracts the common way to preprocess the data, construct the machine learning models, and perform hyper-parameters tuning to find the best model trophy. It is no black-box as you can see exactly how the ML pipeline is constructed (with a detailed Markdown report for each ML model).
Keywords: automated-machine-learning|automatic-machine-learning|automl|catboost|data-science|decision-tree|ensemble|feature-engineering|hyper-parameters|hyperparameter-optimization|lightgbm|machine-learning|mljar|models-tuning|neural-network|random-forest|scikit-learn|shap|tuning-algorithm|xgboost