diff --git a/docs/text/quick_start.rst b/docs/text/quick_start.rst
index 3fb99af8..890c46d4 100644
--- a/docs/text/quick_start.rst
+++ b/docs/text/quick_start.rst
@@ -143,7 +143,7 @@ You can now use the features in the DataFrame `features_filtered` (which is equa
 `features_filtered_direct`) in conjunction with `y` to train your classification model.
 You can find an example in the Jupyter notebook
 `01 Feature Extraction and Selection.ipynb <https://github.com/blue-yonder/tsfresh/blob/main/notebooks/01%20Feature%20Extraction%20and%20Selection.ipynb>`_
-were we train a RandomForestClassifier using the extracted features.
+where we train a RandomForestClassifier using the extracted features.
 
 References