| cross_val_auc | Cross-validate Model Performance |
| fit_glmnet | Fit a regularised logistic regression with 'glmnet' |
| fit_nnet | Fit a multilayer perceptron with with 'nnet' |
| fit_ranger | Fit a random forest with 'ranger' |
| fit_rpart | Fit a decision tree with 'rpart' |
| hello | Hello, World! |
| hyper_search | Perform a grid-search for the best hyper-parameters |
| make_dummies | Internal Utility Functions |
| pipe | Pipe operator |
| prepare_data | Get a Dataset Ready For Modelling |
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