diff --git a/gamestonk_terminal/prediction_techniques/fbprophet.py b/gamestonk_terminal/prediction_techniques/fbprophet.py
index 3a93230555f..3f894feb7c9 100644
--- a/gamestonk_terminal/prediction_techniques/fbprophet.py
+++ b/gamestonk_terminal/prediction_techniques/fbprophet.py
@@ -14,6 +14,7 @@ register_matplotlib_converters()
 
 warnings.simplefilter("ignore")
 
+
 def fbprophet(l_args, s_ticker, df_stock):
     parser = argparse.ArgumentParser(
         prog="fbprophet",
diff --git a/gamestonk_terminal/prediction_techniques/neural_networks.py b/gamestonk_terminal/prediction_techniques/neural_networks.py
index c062fd1ecf0..4fab5020788 100644
--- a/gamestonk_terminal/prediction_techniques/neural_networks.py
+++ b/gamestonk_terminal/prediction_techniques/neural_networks.py
@@ -8,21 +8,13 @@ from pandas.plotting import register_matplotlib_converters
 from TimeSeriesCrossValidation import splitTrain
 from sklearn.preprocessing import MinMaxScaler, StandardScaler
 from tensorflow.keras.models import Sequential
-from tensorflow.keras.layers import (
-    LSTM,
-    SimpleRNN,
-    Dense,
-    Dropout,
-    # Activation,
-    # RepeatVector,
-    # TimeDistributed,
-)
+from tensorflow.keras.layers import LSTM, SimpleRNN, Dense, Dropout
 
 from gamestonk_terminal.helper_funcs import (
     check_positive,
     get_next_stock_market_days,
     parse_known_args_and_warn,
-    print_pretty_prediction
+    print_pretty_prediction,
 )
 
 from gamestonk_terminal import config_neural_network_models as cfg_nn_models