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Keigan/SLOW_AtF.py
SLOW_AtF.py is a research project where in I used various machine learning methods to create a model to predict bureaucratic process. More specifically, we take a self-reported dataset compiled from Reddits r/NFA to predict tax stamp approvals based on application submissions, types, state of application submission, item type, and electronic versus paper filing.
Jupyter NotebookGPL-3.0