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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].
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SEE-DS/SkySurvey
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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].