Outcomes |
- Understand the basic concepts of machine learning and its applications in materials science.
- Develop skills to use Python libraries for machine learning, such as scikit-learn, Pymatgen, and graphviz.
- Gain hands-on experience in applying machine learning techniques to solve materials science problems.
- Learn how to evaluate the performance of machine learning models and interpret their results.
- Develop a critical understanding of the limitations and challenges of machine learning in materials science.
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