Mapping the Universe: classifying galaxies and quasars through essential spectral features with machine learning

This is a work that implements spectra of distant celestial objects taken by the spectrograph of the DESI collaboration. It seeks to deal with the current problem of ambiguity in the classification of Seyfert-type galaxies, causars and stars. For this purpose, a set of spectrophotometric variables i...