Machine Learning for Material Science in Clean Energy
Cover broad guidelines and best practices regarding obtaining and treatment of data in materials science and device physics related directly to Clean Energy. Feature engineering, model training, validation, evaluation and comparison. Include interactive Jupyter notebooks with example Python code to demonstrate important concepts, workflows, and best practices in the field.
Engineering Technology Department, "ENT622" (2021). Curriculum Proposals. 516.