Jinfang Wang Teaching and Learning

Course Portal

Intermediate Data Science

Public interactive materials for selected topics in ensemble learning, neural networks, dimensionality reduction, and model interpretation.

Week 10: Trees, Forests, and Boosting Decision trees, bagging, random forests, boosting, validation, and ensemble intuition. Open Week 11: Neural Network Models for Regression and Classification MLP architecture, activation functions, PyTorch training loops, early stopping, regularization, and CNNs. Open Week 13: PCA and Black-Box Model Interpretation Dimensionality reduction, explained variance, PCA for images, LIME, Shapley values, and SHAP explanations. Open