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desilinguist merged 2 commits into from
Dec 7, 2021
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Added link to SKLL repo in tutorial #691

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ba45edc
Added link to SKLL repo in tutorial
Frost45 May 14, 2021
bc70f1e
Use web link instead of relative link.
desilinguist Dec 7, 2021
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7 changes: 4 additions & 3 deletions doc/tutorial.rst
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Expand Up @@ -23,15 +23,16 @@ Titanic Example
---------------

Let's see how we can apply the basic workflow above to a simple example using
the `Titantic: Machine Learning from Disaster <https://www.kaggle.com/c/titanic/>`__
the `Titanic: Machine Learning from Disaster <https://www.kaggle.com/c/titanic/>`__
data from `Kaggle <https://www.kaggle.com>`__.

Get your data into the correct format
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

The first step is to get the Titanic data. We have already downloaded the data files
from Kaggle and included them in the SKLL repository. Next, we need to get the files
and process them to get them in the right shape.
from Kaggle and included them in the
`SKLL repository <https://github.com/EducationalTestingService/skll/tree/main/examples/titanic>`__.
Next, we need to get the files and process them to get them in the right shape.

The provided script, :download:`make_titanic_example_data.py <../examples/make_titanic_example_data.py>`, will split the train and test data files
from Kaggle up into groups of related features and store them in
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