def train_mlp_model_refined(): data = ml.ModalData() data.log_transform() data.min_max_scaler() data.factorize() data.pca(16) data.train_mlp_refined()
def confusion_matrix(): data = ml.ModalData() data.log_transform() data.min_max_scaler() data.factorize() data.pca(16) data.confusion_matrix()
def train_random_forest_model(): data = ml.ModalData() data.log_transform() data.min_max_scaler() data.factorize() data.pca(16) data.train_random_forest()
def data_exploration(): data = ml.ModalData() data.explore_num_features() data.explore_cat_features() data.data_explore()
def identify_outliers(): data = ml.ModalData() data.log_transform() data.identify_outliers()
def data_preprocessing(): data = ml.ModalData() data.log_transform() data.min_max_scaler() data.factorize() data.pca(41)
def data_visualization(): data = ml.ModalData() data.initial_heatmap() data.initial_distplot()