chore: import upstream snapshot with attribution

docs/tabular_examples.rst

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+Tabular examples
+----------------
+
+These examples explain machine learning models applied to tabular data. They are all generated from Jupyter
+notebooks `available on GitHub <https://github.com/shap/shap/tree/master/notebooks/tabular_examples>`_.
+
+
+Tree-based models
+=================
+Examples demonstrating how to explain tree-based machine learning models.
+
+.. toctree::
+    :glob:
+    :maxdepth: 1
+
+    example_notebooks/tabular_examples/tree_based_models/*
+
+
+Linear models
+=============
+Examples demonstrating how to explain linear machine learning models.
+
+.. toctree::
+    :glob:
+    :maxdepth: 1
+
+    example_notebooks/tabular_examples/linear_models/*
+
+
+Neural networks
+===============
+Examples demonstrating how to explain machine learning models based on neural networks.
+
+.. toctree::
+    :glob:
+    :maxdepth: 1
+
+    example_notebooks/tabular_examples/neural_networks/*
+
+
+Model agnostic
+==============
+Examples demonstrating how to explain arbitrary machine learning pipelines.
+
+.. toctree::
+    :glob:
+    :maxdepth: 1
+
+    example_notebooks/tabular_examples/model_agnostic/*