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=======
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/lmm/lmm.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`