🐛 fix small bug

DeepChem :code:`dc.data` provides the APIs for handling your data.

If your data is stored by the file like CSV and SDF, you can use the **Data Loaders**.

The Data Loader reads your data, converts them to features (ex: SMILES to ECFP) and save the features to Dataset class.

The Data Loaders read your data, convert them to features (ex: SMILES to ECFP) and save the features to Dataset class.

If your data is python objects like Numpy arrays or Pandas DataFrames, you can use the **Datasets** directly.

.. contents:: Contents

autodoc_default_options = {

    'member-order': 'bysource',

    'special-members': True,

    'exclude-members': '__repr__, __str__, __weakref__, __hash__, __eq__',

    'exclude-members': '__repr__, __str__, __weakref__, __hash__, __eq__, __dict__',

}

# How to represents typehints.

More Tutorials

--------------

DeepChem maintains an extensive collection of addition `tutorials`_ that are meant to

be run on Google `colab`_, an online platform that allows you to execute Jupyter notebooks.

DeepChem maintains `an extensive collection of addition tutorials`_ that are meant to

be run on `Google Colab`_, an online platform that allows you to execute Jupyter notebooks.

Once you've finished this introductory tutorial, we recommend working through these more involved tutorials.

.. _`scikit-learn`: https://scikit-learn.org/stable/

.. _`XGBoost`: https://xgboost.readthedocs.io/en/latest/

.. _`PyTorch`: https://pytorch.org/

.. _`JAX`: https://github.com/google/jax

.. _`tutorials`: https://github.com/deepchem/deepchem/tree/master/examples/tutorials	

.. _`colab`: https://colab.research.google.com/

.. _`an extensive collection of addition tutorials`: https://github.com/deepchem/deepchem/tree/master/examples/tutorials	

.. _`Google Colab`: https://colab.research.google.com/