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