diff --git a/doc/source/ray-air/examples/analyze_tuning_results.ipynb b/doc/source/ray-air/examples/analyze_tuning_results.ipynb
index 0296163a1b37d..b6d397d88f084 100644
--- a/doc/source/ray-air/examples/analyze_tuning_results.ipynb
+++ b/doc/source/ray-air/examples/analyze_tuning_results.ipynb
@@ -170,7 +170,7 @@
    "source": [
     "With these parameters in place, we'll create a Ray AIR `XGBoostTrainer`.\n",
     "\n",
-    "Note a few things here. First, we pass in a `scaling_config` to configure the distributed training behavior of each individual XGBoost training job. Here, we want to distribute training across 2 workers.\n",
+    "Note that we pass in a `scaling_config` to configure the distributed training behavior of each individual XGBoost training job. We want to distribute training across 2 workers.\n",
     "\n",
     "The `label_column` specifies which columns in the dataset contains the target values. `params` are the XGBoost training params defined above - we can tune these later! The `datasets` dict contains the dataset we would like to train on. Lastly, we pass the number of boosting rounds to XGBoost."
    ]