GitHub repository: CSLSDS/SkySurvey
Primary language: Jupyter Notebook
Description: An exploration of Sloan Sky Survey data to understand the factors that differentiate celestial object observations between stars, galaxies, and quasi-stellar objects [QSOs or quasars] using plotly, scikit-learn, xgboost, and numerous libraries for visualization of the interrelationships between features [shap, pdpbox, etc].