| cross_validate_xgb | this function takes the train structure and hyperparameters,... |
| get_class | this function helps compute the class of a given column and... |
| get_normalizing_factors | this function returns the factors by which a df was... |
| get_predictions_linear | this function takes the model structure generated by... |
| get_predictions_rf | this function takes the model structure generated by... |
| get_predictions_xgb | this function takes the model structure generated by... |
| get_train_levels | This function returns a data frame of all the various... |
| guess_hyperparameters | This function guesses sensible parameters for setting up the... |
| handle_missing_values | tThis function implements a simple NA handling system for... |
| handle_new_test_levels | this functions deals with categorical variables in the test... |
| normalize_df | This function normalizes the n umeric columns in a data frame... |
| prepare_training_set | this function takes a data frame and the target variable and... |
| rationalize_categoricals | This function converts the categorical variables into either... |
| remove_uninformative | remove columns from the df that contain no information, like... |
| train_linear_model | this function returns a structure that contains the linear... |
| train_model_xgb | this function returns a structure that contains the xgb model... |
| train_rf_model | this function returns a structure that contains the rf model... |
| transform_target_variable | This function converts the target variable to integer if it... |
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