Machine Learnig for FTIR data
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I need your opinion on my data file. The file contains FTIR measurements of 1 sugar and 16 types of honey samples.FTIR measurements were made again by adding 10%, 20% and 40% sugar to 16 honey samples. FTIR measurements are in the wavelength range of 4000-650 nm. When the FTIR measurement of an unknown honey is taken, I want to find out what type of honey it is and how much sugar has been added. What machine learning method would you suggest?
Thank you for giving a time
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