This is a mind map about architechure diagram, including data preprocessing, feature selection, and scaling. The workflow demonstrates the use of various regression models such as LightGBM and Random Forest to obtain scores, followed by cross-validation to ensure model accuracy. Additionally, it highlights the integration of zero-shot text classification for course aptitude labeling, providing insights into student skills across cognitive, natural language, and mathematics areas.
