cat_new_class           Clubbing class of categorical variables with
                        low population percentage with another class of
                        similar event rate
categorical_iv          IV table for individual categorical variable
club_cat_class          Clubbing class of a categorical variable with
                        low population percentage with another class of
                        similar event rate
cv_filter               Variable reduction based on Cramer's V filter
cv_table                Pairwise Cramer's V among a list of categorical
                        variables
cv_test                 Cramer's V value between two categorical
                        variables
dtree_split_val         Getting the split value for terminal nodes from
                        decision tree
dtree_trend_iv          Recursive Decision Tree partitioning with
                        monotonic event rate along with IV table for
                        individual numerical variable
fn_conf_mat             Creates confusion matrix and its related
                        measures
fn_cross_index          Creates random index for k-fold cross
                        validation
fn_error                Computes error measures between observed and
                        predicted values
fn_mode                 Calculating mode value of a vector
fn_target               Redefines target value
gini_table              Performance measure table with Gini
                        coefficient, KS-statistics and Gini lift curve
gradient_boosting_parameters
                        Hyperparameter optimisation or parameter tuning
                        for Gradient Boosting Regression Modelling by
                        grid search
iv_filter               Variable reduction based on Information Value
                        filter
iv_table                WOE and IV table for list of numerical and
                        categorical variables
missing_val             Missing value imputation
num_to_cat              Binning numerical variables based on cuts from
                        IV table
others_class            Clubbing of classes of categorical variable
                        with low population percentage into one class
random_forest_parameters
                        Hyperparameter optimisation or parameter tuning
                        for Random Forest by grid search
sampling                Random sampling of data into train and test
scalling                Converting coefficients of logistic regression
                        into scores for scorecard building
scoring                 Scoring a dataset with class based on a
                        scalling logic to arrive at final score
support_vector_parameters
                        Hyperparameter optimisation or parameter tuning
                        for Suppert Vector Machine by grid search
univariate              Univariate analysis of variables
vif_filter              Removing multicollinearity from a model using
                        vif test
