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content/docs/start/data-and-model-versioning.md

@@ -249,13 +249,13 @@ the <abbr>workspace</abbr> efficiently to match them.
 
 ## Model versioning
 
-DVC helps you handle model files as well. Models in a
-project usually change more frequently than data files and they need to be kept
-in sync with changes in other elements of a project. Model files are no
-different than data files when it comes to tracking their versions. DVC also
-provides means to track minor changes in model files without fully checking in
-to underlying VCS. In later sections of this series, you'll see how DVC enables
-to track changes in pipelines consisting of multiple model and data files.
+DVC helps you handle model files as well. Models in a project usually change
+more frequently than data files and they need to be kept in sync with changes in
+other elements of a project. Model files are no different than data files when
+it comes to tracking their versions. DVC also provides means to track minor
+changes in model files without fully checking in to underlying VCS. In later
+sections of this series, you'll see how DVC enables to track changes in
+pipelines consisting of multiple model and data files.
 
 ## Large datasets versioning