MSIA 420 Winter 2023 Lab

Python labs for MSIA 420 Predictive Analytics II.

Contents

1. Week 1: Introduction, logistic regression, non-linear least-squares
2. Week 2: Bootstrap
3. Week 3: K-fold cross-validation, neural network regression
4. Week 4: ALE plots, Large scale neural network classification
5. Week 5: Decision trees - regression and classification
6. Week 6: No lab
7. Week 7: Nearest neighbors, RPy2
8. Week 8: Generalized additive models, Hyperopt, Reticulate
9. Week 9: Random Forests, Gradient boosted trees (xgboost)