A machine learning case study with limited data for prediction of carbon fiber mechanical properties

•Developed Taguchi DOE approach combined with two known ML approaches using limited training dataset predict very well the mechanical properties of carbon fibers.•A model based on three rendering parameters of the stabilization reaction process have been created.•The rendering parameters were obtained according to the interpretation of entire (FT-IR ATR) spectra for mechanical properties prediction.