Google translated http://scikit-learn.org/0.18/presentations.html
Tutorial Table of Contents / Previous Tutorial
For written tutorials, see the Tutorials section of the documentation (http://qiita.com/nazoking@github/items/5160c11d1a5b3fe8f34c).
When starting a new scientific Python ecosystem, Python Scientific Lecture Notes .turbare.net/transl/scipy-lecture-notes/index.html))) is highly recommended. This will help you find a little foundation and will definitely improve your experience of learning scikit-learn. A basic understanding of NumPy arrays is recommended to get the most out of scikit-learn.
There are several online tutorials tailored to your particular subject area.
-Machine learning for NeuroImaging in Python -Machine learning for astronomical data analysis
--Guy Baroque, Jake Bander Plus, Olivier Grisel at Scipy 2013 scikit-learn Part 1 and [Part 2](https: //) by scikit-learn (http://twitter.com/ogrisel) Introducing conference.scipy.org/scipy2013/tutorial_detail.php?id=111). The notebook is on github. --[Introduction of scikit-learn] by Gael Varoquaux at ICML 2010] --A 3-minute video from the very early stages of scikit explains the basic ideas and approaches we follow. --Gael Varoquaux at SciPy 2011 Introduction to Statistics Learning with scikit-learn ) --Extensive tutorial consisting of four 1-hour sessions. This tutorial describes the basics of machine learning, many algorithms, and how to apply them using scikit-learn. Corresponding material can be found in the scikit-learn documentation section Tutorial for statistical learning of scientific data processing. --Scikit-learn by Olivier Grisel and [Statistical Learning for Text Classification by NLTK] at PyCon 2011 (http://www.pyvideo.org/video/417) / pycon-2011--statistical-machine-learning-for-text) (Slide -nltk))) --A 30-minute introduction to text classification. Learn how to use NLTK and scikit-learn to solve real text classification tasks and compare them to cloud-based solutions. --Olivier Grisel at PyCon 2012 [Introduction of interactive predictive analysis using scikit-learn in Python](https://www.youtube.com/watch? v = Zd5dfooZWG4) --A 3-hour introduction to predictive tasks using scikit-learn. --Scikit-learn --Machine Learning with Python of Jake Vanderplas at the 2012 PyData Workshop / scikit-learn_machine_learning_in_python) --Interactive demonstration of the Sikit learning function 75 minutes. --[Scikit-learn tutorial] by Jake Vanderplas at PyData NYC 2012 (https://vimeo.com/53062607) --The presentation uses an online tutorial, 45 minutes.
© 2010 --2016, scikit-learn developers (BSD license).
Recommended Posts