This project identifies what makes people match at a speed dating event. The models created have potential application in a dating app. These are the two slides that were presented: https://docs.google.com/presentation/d/1vCd_D6jmQyCVrH-mCuxfB6foQojuhak2x0U7d0GqrUs/edit?usp=sharing https://docs.google.com/presentation/d/18G-bDNvN9ON1QwLRrI0iaN55fxxi6bwNl2Ff1HRtE2E/edit#slide=id.g1a616fb619a_0_57 The repository includes a key for all the features, the code, the report, and the csv file.
Here are the environment requirements: name: data1030 channels:
- conda-forge
- defaults dependencies:
- python=3.10.5
- matplotlib=3.5.2
- pandas=1.4.2
- scikit-learn=1.1.1
- numpy=1.22.4
- xgboost=1.7.1
- shap=0.40.0
- jupyter_client=7.3.1
- jupyter_core=4.10.0
- jupyterlab=3.4.2
- jupyter_server=1.17.0
- jupytext=1.13.8
- rise=5.7.1
- plotly=5.8.0
- ipywidgets=7.7.0 prefix: /opt/conda