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Jul 6, 2022
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docs: Grammatically updated the quickstart guide docs #2913

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2 changes: 1 addition & 1 deletion docs/getting-started/quickstart.md
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Expand Up @@ -224,7 +224,7 @@ To train a model, we need features and labels. Often, this label data is stored

The user can query that table of labels with timestamps and pass that into Feast as an _entity dataframe_ for training data generation. In many cases, Feast will also intelligently join relevant tables to create the relevant feature vectors.

* Note that we include timestamps because want the features for the same driver at various timestamps to be used in a model.
* Note that we include timestamps because we want the features for the same driver at various timestamps to be used in a model.

{% tabs %}
{% tab title="Python" %}
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