The objective of this project is to create and compare text-based classification models. Using a dataset of labeled documents, the models will be used to classify un-labeled documents into one of two categories.
/codeScripts with prefixes (e.g.,01_import-data.py,02_clean-data.py) and functions in/code/src./dataSimulated and real data, the latter not pushed./figuresPNG images and plots./outputOutput from model runs, not pushed./presentationsPresentation slides./privateA catch-all folder for miscellaneous files, not pushed./venvProject library./writingCase studies and the paper.requirements.txtInformation on the reproducible environment.
Every package you install lives in your system library, accessible to all projects. However, packages change. Add a reproducible environment by creating a project library using venv.
For more details on using GitHub, Quarto, etc. see ASC Training.