Tutorial: Statistical Learning for scientific data analysis

• A tutorial on statistical-learning for scientific data processing
  • Statistical learning: the setting and the estimator object in the scikit-learn
  • Supervised learning: predicting an output variable from high-dimensional observations
  • Model selection: choosing estimators and their parameters
  • Unsupervised learning: seeking representations of the data
  • Putting it all together
  • Finding help

Note

Doctest Mode

The code-examples in the above tutorials are written in a python-console format. If you wish to easily execute these examples in iPython, use:

%doctest_mode

in the iPython-console. You can then simply copy and paste the examples directly into iPython without having to worry about removing the >>> manually.