██╗███╗   ███╗██████╗  █████╗ ██╗      █████╗ ███╗   ██╗ ██████╗███████╗██████╗     ██████╗  █████╗ ████████╗ █████╗ 
██║████╗ ████║██╔══██╗██╔══██╗██║     ██╔══██╗████╗  ██║██╔════╝██╔════╝██╔══██╗    ██╔══██╗██╔══██╗╚══██╔══╝██╔══██╗
██║██╔████╔██║██████╔╝███████║██║     ███████║██╔██╗ ██║██║     █████╗  ██║  ██║    ██║  ██║███████║   ██║   ███████║
██║██║╚██╔╝██║██╔══██╗██╔══██║██║     ██╔══██║██║╚██╗██║██║     ██╔══╝  ██║  ██║    ██║  ██║██╔══██║   ██║   ██╔══██║
██║██║ ╚═╝ ██║██████╔╝██║  ██║███████╗██║  ██║██║ ╚████║╚██████╗███████╗██████╔╝    ██████╔╝██║  ██║   ██║   ██║  ██║
╚═╝╚═╝     ╚═╝╚═════╝ ╚═╝  ╚═╝╚══════╝╚═╝  ╚═╝╚═╝  ╚═══╝ ╚═════╝╚══════╝╚═════╝     ╚═════╝ ╚═╝  ╚═╝   ╚═╝   ╚═╝  ╚═╝
                                                                                                                     
                                                                                                                   

https://mikewlange.github.io/ImbalancedData-/

From the notebook 'Unsexy Data Science - Part One¶ Dealing with Imbalanced Data (Mortgage loans defaults)'