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Update unfortunate typo #6

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Expand Up @@ -6,7 +6,7 @@ output:
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# Background
In this notebook, we gather and prepare the soccer data for DataRobot's AutoML fool. We queue the model building projects in the notebook (here)[https://github.com/datarobot-community/examples-for-data-scientists/blob/afd_soccer_example_wip/Feature%20Discovery/Python/Soccer%20predictions/Gather_and_prepare_data_for_AFD_soccer_example.Rmd].
In this notebook, we gather and prepare the soccer data for DataRobot's AutoML tool. We queue the model building projects in the notebook (here)[https://github.com/datarobot-community/examples-for-data-scientists/blob/afd_soccer_example_wip/Feature%20Discovery/Python/Soccer%20predictions/Gather_and_prepare_data_for_AFD_soccer_example.Rmd].

## Introduction
Automated Feature Discovery (AFD) is a tool offered in DataRobot's Automated Machine Learning (AutoML) portion of the platform. Put simply, AFD helps to derive
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