Implementing neural networks for classification and regression, with configurable regularization and activation functions.
Implementing and comparing decision trees and random forests on TKI-resistance FTIR spectral data.
Implementing multinomial and ordinal logistic regression and evaluating both models on basketball-shot data.
Comparing kernel ridge regression and support-vector regression with nested cross-validation.
Comparing model-selection, hyperparameter-search, and evaluation methods for basketball-shot classification.