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Grammatically updated the quickstart guide docs
Signed-off-by: Prasad <prasadzende1997@gmail.com>
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docs/getting-started/quickstart.md

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@@ -224,7 +224,7 @@ To train a model, we need features and labels. Often, this label data is stored
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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.
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* Note that we include timestamps because want the features for the same driver at various timestamps to be used in a model.
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* Note that we include timestamps because we want the features for the same driver at various timestamps to be used in a model.
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{% tabs %}
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{% tab title="Python" %}

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