GitHub repository: kevinmm6/ML_Raman
Primary language: Python
Description: Code that uses two different machine learning models (Decision tree and Random forest) on raman data on pulp provided by Ashton. The model was trained and MAE optimized for the three possible target features (Tear,bundle and BL). The raman data is on the Raman.csv files while the target data is on the Targets.csv files.