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An analysis of possible biases in speed dating data using machine learning for UW Bothell class CSS444: Analyzing Biases In The Age of Data. Code all written by myself (Joshua Sommer), Adam Meilicke, and Eugene Chan

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joshs23/Speed-Dating-Analysis

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To view the results of our analysis please open FinalProjectnb.ipynb, you may view in the file viewer in GitHub, or run in your own Jupyter notebook reader such as VScode or Google's collab. Original data can be found on Kaggle here: https://www.kaggle.com/datasets/annavictoria/speed-dating-experiment.

The file Speed Dating Data Key - cleaned.doc is the documentation for the data including a list of the columns and what they mean.

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An analysis of possible biases in speed dating data using machine learning for UW Bothell class CSS444: Analyzing Biases In The Age of Data. Code all written by myself (Joshua Sommer), Adam Meilicke, and Eugene Chan

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