[Translation] scikit-learn 0.18 Tutorial Table of Contents

Google translated http://scikit-learn.org/0.18/tutorial/index.html Click here for User Guide

scikit-learn tutorial

Introduction of machine learning by scikit-learn

--Machine learning: Problem setting --Load sample dataset --Learning and prediction --Model persistence --Terms

Statistical Learning Tutorial for Scientific Data Processing

-Statistical learning: Settings and estimator objects in scikit-learn -Supervised learning: Predicting output variables from high-dimensional observations -Model selection: Estimator and its parameter selection -Unsupervised learning: seeking data representation -Put everything together -Search for help

Text data manipulation

--Tutorial setup --Load 20 newsgroup datasets --Extracting features from text files --Classifier training --Pipeline construction --Test set performance assessment --Parameter tuning by grid search --Exercise 1: Language identification --Exercise 2: Sentiment analysis of movie reviews --Exercise 3: CLI Text Classification Utility

Choose a suitable estimator

External resources, videos, talk

--Are you new to scientific Python? --External tutorial

** Memo **

Doctest mode The code example in the tutorial above is written in python-console format. To easily run these examples in IPython:

％doctest_mode

It's in IPython-console. You can copy and paste the example directly into IPython without having to worry about manually deleting the >>>.

Click here for User Guide

© 2010 --2016, scikit-learn developers (BSD license).

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