diff --git a/skforecast/direct/_forecaster_direct.py b/skforecast/direct/_forecaster_direct.py
index 9a90a2f5..3a6c3394 100644
--- a/skforecast/direct/_forecaster_direct.py
+++ b/skforecast/direct/_forecaster_direct.py
@@ -869,7 +869,7 @@ def filter_train_X_y_for_step(
         Parameters
         ----------
         step : int
-            Step for which columns must be selected selected. Starts at 1.
+            Step for which columns must be selected. Starts at 1.
         X_train : pandas DataFrame
             Dataframe created with the `create_train_X_y` method, first return.
         y_train : dict
diff --git a/skforecast/direct/_forecaster_direct_multivariate.py b/skforecast/direct/_forecaster_direct_multivariate.py
index 01bddb83..1f1762cd 100644
--- a/skforecast/direct/_forecaster_direct_multivariate.py
+++ b/skforecast/direct/_forecaster_direct_multivariate.py
@@ -1107,7 +1107,7 @@ def filter_train_X_y_for_step(
         Parameters
         ----------
         step : int
-            step for which columns must be selected selected. Starts at 1.
+            step for which columns must be selected. Starts at 1.
         X_train : pandas DataFrame
             Dataframe created with the `_create_train_X_y` method, first return.
         y_train : dict
diff --git a/skforecast/recursive/_forecaster_recursive.py b/skforecast/recursive/_forecaster_recursive.py
index 0562e1cc..617dcbad 100644
--- a/skforecast/recursive/_forecaster_recursive.py
+++ b/skforecast/recursive/_forecaster_recursive.py
@@ -862,7 +862,7 @@ def create_sample_weights(
         X_train: pd.DataFrame,
     ) -> np.ndarray:
         """
-        Crate weights for each observation according to the forecaster's attribute
+        Create weights for each observation according to the forecaster's attribute
         `weight_func`.
 
         Parameters