minor docstring fixups

python_scripts/ensemble_bagging.py

@@ -78,7 +78,7 @@ def generate_data(n_samples=30):
 _ = plt.title("Predictions by a single decision tree")
 
 # %% [markdown]
-# Let's see how we can use bootstraping to learn several trees.
+# Let's see how we can use bootstrapping to learn several trees.
 #
 # ## Bootstrap resampling
 #

python_scripts/linear_models_feature_engineering_classification.py

@@ -439,7 +439,7 @@ def plot_decision_boundary(model, title=None):
 # - Transformers such as `KBinsDiscretizer` and `SplineTransformer` can be used
 #   to engineer non-linear features independently for each original feature.
 # - As a result, these transformers cannot capture interactions between the
-#   orignal features (and then would fail on the XOR classification task).
+#   original features (and then would fail on the XOR classification task).
 # - Despite this limitation they already augment the expressivity of the
 #   pipeline, which can be sufficient for some datasets.
 # - They also favor axis-aligned decision boundaries, in particular in the low