Python labs for MSIA 420 Predictive Analytics II.
- Week 1: Introduction, logistic regression, non-linear least-squares
- Week 2: Bootstrap
- Week 3: K-fold cross-validation, neural network regression
- Week 4: ALE plots, Large scale neural network classification
- Week 5: Decision trees - regression and classification
- Week 6: No lab
- Week 7: Nearest neighbors, RPy2
- Week 8: Generalized additive models, Hyperopt, Reticulate
- Week 9: Random Forests, Gradient boosted trees (xgboost)