/detecting-mitigating-bias-base

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.

Primary LanguageJupyter Notebook

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.