/libs

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Quantitative analysis on LIBS data with Machine Learning

Master thesis project done during spring 2020 at Swerim. The task is to find the most effective method(s) to do regression on Laser Induced Breakdown Spectroscopy (LIBS) spectral data in order to find unknown analyte composition of a given sample. This project has been done by Olivier Nicolini.