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.ipynb_checkpoints
__pycache__
visuals
DataInputsPractices.ipynb
ModelDataPractices.ipynb
PoliceDeployment.ipynb
PreventingBias.ipynb
README.md
confusion_matrix.png
datacheck_support.py
datacheck_support.pyc
machine_learning_boxes.png
notebook_support.py Clean training, testing, and eval commit Jan 17, 2017
notebook_support.pyc
requirements.txt

README.md

notebooks

This directory contains iPython notebooks with code for evaluation of models, data inputs, and deployment.

To access, run Jupyter notebook within the directory containing these files:

jupyter notebook

You may need to install a few packages. If so, run the requirements.txt file in bash.

The notebooks

In-progress notebooks:

  • ModelDataPractices.ipynb - general overview of model checks at a beginner's level
  • DataInputsPractices.ipynb - general overview of data quality checks
  • PoliceDeployment.ipynb - a deployment exercise comparing historical average to CrimeScape
  • PreventingBias.ipynb - looks at potential sources of disparate impact

Supporting Files

  • notebook_support.py - contains functions used within all notebooks
  • confusion_matrix.png - a confusion matrix diagram
  • datacheck_support.py - contains functions specifically for the Data Inputs notebook
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