2. Tutorials: From the bottom up with scikit-learn

Beginner Tutorial

In this section, we introduce the machine learning vocabulary that we use through-out sklearn and give a simple learning example.

• 2.1. An Introduction to machine learning with scikit-learn
  • 2.1.1. Machine learning: the problem setting
  • 2.1.2. Loading an example dataset
  • 2.1.3. Learning and Predicting
  • 2.1.4. Model persistence

Statistical-learning Tutorial

This tutorial covers some of the models and tools available to do data-processing with Scikit Learn and how to learn from your data.

• 2.2. Statistical-learning for scientific data processing tutorial
  • 2.2.1. Statistical learning: the setting and the estimator object in the scikit-learn
  • 2.2.2. Supervised learning: predicting an output variable from high-dimensional observations
  • 2.2.3. Model selection: choosing estimators and their parameters
  • 2.2.4. Unsupervised learning: seeking representations of the data
  • 2.2.5. Putting it all together
  • 2.2.6. Finding help