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This notebook represents my personal code, notes, and reflections for the Manning liveProject titled "Mitigate Machine Learning Bias: Shap and AIF360" by Michael McKenna. Any citations or references to original course material retain the original author copyright and ownership. Personal code is licensed under the MIT License.

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Detecting and Mitigating Bias in Machine Learning Models Starting Repository

Starter repository for Manning LiveProject: Detecting and Mitigating Bias in Machine Learning Models

Setup

This project requires Python 3.7 installed with the anaconda distribution.

To install the required libraries in a new virtual environment, run conda env create -f environment.yml from the project root directory. This will install the libraries into a virtual env that can be activated with conda activate bias-project.

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This notebook represents my personal code, notes, and reflections for the Manning liveProject titled "Mitigate Machine Learning Bias: Shap and AIF360" by Michael McKenna. Any citations or references to original course material retain the original author copyright and ownership. Personal code is licensed under the MIT License.

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