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()