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diff --git a/docs/ml-tuning.md b/docs/ml-tuning.md
index 2ca90c7092..e4b070331d 100644
--- a/docs/ml-tuning.md
+++ b/docs/ml-tuning.md
@@ -62,7 +62,7 @@ To help construct the parameter grid, users can use the [`ParamGridBuilder`](api
After identifying the best `ParamMap`, `CrossValidator` finally re-fits the `Estimator` using the best `ParamMap` and the entire dataset.
-## Example: model selection via cross-validation
+**Examples: model selection via cross-validation**
The following example demonstrates using `CrossValidator` to select from a grid of parameters.
@@ -102,7 +102,7 @@ It splits the dataset into these two parts using the `trainRatio` parameter. For
Like `CrossValidator`, `TrainValidationSplit` finally fits the `Estimator` using the best `ParamMap` and the entire dataset.
-## Example: model selection via train validation split
+**Examples: model selection via train validation split**
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