index.rst

Phantom

Introduction

Important links:

• Web page
• Github
• Latest pdf
• Official deposit for citation.

This document describes statistics and machine learning in Python using:

• Scikit-learn for machine learning.
• Pytorch for deep learning.
• Statsmodels for statistics.

.. toctree::
    :maxdepth: 2

    introduction/python_ecosystem.rst
    introduction/machine_learning.rst

Python language

.. toctree::
    :maxdepth: 2

    auto_gallery/python_lang.rst

Scientific Python

.. toctree::
    :maxdepth: 2

    auto_gallery/scipy_numpy.rst
    auto_gallery/scipy_pandas.rst
    scientific_python/scipy_matplotlib.rst

Statistics

.. toctree::
    :maxdepth: 2

    statistics/stat_univ.rst
    auto_gallery/stat_univ_lab_brain-volume.rst
    statistics/stat_multiv.rst
    statistics/time_series.rst

Machine Learning

.. toctree::
    :maxdepth: 2

    machine_learning/decomposition.rst
    machine_learning/manifold.rst
    machine_learning/clustering.rst
    machine_learning/linear_regression.rst
    machine_learning/linear_classification.rst
    auto_gallery/ml_supervized_nonlinear.rst
    auto_gallery/ml_resampling.rst
    machine_learning/ensemble_learning.rst
    optimization/optim_gradient_descent.rst
    auto_gallery/ml_lab_face_recognition.rst

Deep Learning

.. toctree::
    :maxdepth: 2

    deep_learning/dl_backprop_numpy-pytorch-sklearn.rst
    deep_learning/dl_mlp_mnist_pytorch.rst
    deep_learning/dl_cnn_cifar10_pytorch.rst
    deep_learning/dl_transfer-learning_cifar10-ants-bees_pytorch.rst

Indices and tables

• :ref:`genindex`
• :ref:`modindex`
• :ref:`search`