that-ml-library

A useful package for EDA and quick ML model building


Keywords
jupyter, notebook, python, sklearn, statistics, statsmodels
License
Apache-2.0
Install
pip install that-ml-library==0.0.5

Documentation

that-ml-library

Install

pip install that_ml_library

For tree visualization function (plot_tree_dtreeviz or plot_tree_sklearn), you also need to install graphviz. Please follow the instruction here

How to use

Please visit https://anhquan0412.github.io/that-ml-library/ for tutorials and documentations

A word of caution

This library should only be utilized solely for developing a proof of concept or prototype for your machine learning model with your specific dataset, with the aim of evaluating the model’s performance and interpretability. For deployment in a production environment, opt for a more organized methodology, such as https://scikit-learn.org/stable/modules/compose.html#pipeline