diff --git a/examples/src/main/python/ml/fm_classifier_example.py b/examples/src/main/python/ml/fm_classifier_example.py
index c9b20e3fe93cb..559bd6db7e767 100644
--- a/examples/src/main/python/ml/fm_classifier_example.py
+++ b/examples/src/main/python/ml/fm_classifier_example.py
@@ -66,7 +66,7 @@
     accuracy = evaluator.evaluate(predictions)
     print("Test set accuracy = %g" % accuracy)
 
-    fmModel: FMClassificationModel = model.stages[2]  # type: ignore[assignment]
+    fmModel: FMClassificationModel = model.stages[2]  # type: ignore
     print("Factors: " + str(fmModel.factors))
     print("Linear: " + str(fmModel.linear))
     print("Intercept: " + str(fmModel.intercept))
diff --git a/examples/src/main/python/ml/fm_regressor_example.py b/examples/src/main/python/ml/fm_regressor_example.py
index c6e398f145721..4cc26f74f56a2 100644
--- a/examples/src/main/python/ml/fm_regressor_example.py
+++ b/examples/src/main/python/ml/fm_regressor_example.py
@@ -63,7 +63,7 @@
     rmse = evaluator.evaluate(predictions)
     print("Root Mean Squared Error (RMSE) on test data = %g" % rmse)
 
-    fmModel: FMRegressionModel = model.stages[1]  # type: ignore[assignment]
+    fmModel: FMRegressionModel = model.stages[1]  # type: ignore
     print("Factors: " + str(fmModel.factors))
     print("Linear: " + str(fmModel.linear))
     print("Intercept: " + str(fmModel.intercept))
diff --git a/examples/src/main/python/ml/logistic_regression_summary_example.py b/examples/src/main/python/ml/logistic_regression_summary_example.py
index 8c3a5aa18fdfb..ecd4442fa634d 100644
--- a/examples/src/main/python/ml/logistic_regression_summary_example.py
+++ b/examples/src/main/python/ml/logistic_regression_summary_example.py
@@ -44,7 +44,7 @@
     # in the earlier example
     trainingSummary: BinaryLogisticRegressionTrainingSummary = (
         lrModel.summary
-    )  # type: ignore[assignment]
+    )  # type: ignore
 
     # Obtain the objective per iteration
     objectiveHistory = trainingSummary.objectiveHistory
diff --git a/examples/src/main/python/ml/pipeline_example.py b/examples/src/main/python/ml/pipeline_example.py
index 995bde89a1df2..66fdd73632a70 100644
--- a/examples/src/main/python/ml/pipeline_example.py
+++ b/examples/src/main/python/ml/pipeline_example.py
@@ -62,7 +62,7 @@
     prediction = model.transform(test)
     selected = prediction.select("id", "text", "probability", "prediction")
     for row in selected.collect():
-        rid, text, prob, prediction = row  # type: ignore[no-redef]
+        rid, text, prob, prediction = row  # type: ignore
         print(
             "(%d, %s) --> prob=%s, prediction=%f" % (
                 rid, text, str(prob), prediction   # type: ignore