.. _sphx_glr_auto_examples_preprocessing:

.. _preprocessing_examples:

Preprocessing tools
-------------------

Preprocessing data is a common task in machine learning. The examples below
illustrate the preprocessing tools available in this module.



.. raw:: html

    <div class="sphx-glr-thumbnails">


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Missing values are common in real-word datasets and most algorithms cannot deal with them. Thus...">

.. only:: html

  .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_imputer_thumb.png
    :alt: Imputer

  :ref:`sphx_glr_auto_examples_preprocessing_plot_imputer.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Imputer</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Scaling data is a usual requirement for many algorithms and allows to have identical scales for...">

.. only:: html

  .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_scalers_thumb.png
    :alt: Scalers

  :ref:`sphx_glr_auto_examples_preprocessing_plot_scalers.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Scalers</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Some algorithms make assumptions on the distribution of the data. Therefore it can be useful to...">

.. only:: html

  .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_transformers_thumb.png
    :alt: Transformers

  :ref:`sphx_glr_auto_examples_preprocessing_plot_transformers.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Transformers</div>
    </div>


.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/preprocessing/plot_imputer
   /auto_examples/preprocessing/plot_scalers
   /auto_examples/preprocessing/plot_transformers