Advanced SDSS stellar classification — multi-class RF/SVM on photometric bands + redshift. >97% accuracy with colour-magnitude diagrams and per-class confidence output.
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Updated
Mar 15, 2026 - Python
Advanced SDSS stellar classification — multi-class RF/SVM on photometric bands + redshift. >97% accuracy with colour-magnitude diagrams and per-class confidence output.
Photometric stellar object classifier distinguishing Stars, Galaxies and Quasars from SDSS u/g/r/i/z magnitudes and redshift. Includes PCA feature projection and CMD plots.
Projects Computer Vision (CV), MSc Artificial Intelligence, Year 1, Semester 2, Faculty of Mathematics and Computer Science, University of Bucharest
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