PyCon 2015 Scikit-Learn Tutorial Index

This is the main index of the PyCon 2015 Introduction to Scikit-Learn tutorial, presented by Jake VanderPlas.

The following links are to notebooks containing the tutorial materials. Note that many of these require files that are in the directory structure of the github repository in which they are contained. We will not have time to cover all this material, but I left it here for reference.

1. Preliminaries

• 01-Preliminaries.ipynb

2. Introduction to Machine Learning with Scikit-Learn

• 02.1-Machine-Learning-Intro.ipynb
• 02.2-Basic-Principles.ipynb

3. Supervised Learning In-Depth

• 03.1-Classification-SVMs.ipynb
• 03.2-Regression-Forests.ipynb

4. Unsupervised Learning In-Depth

• 04.1-Dimensionality-PCA.ipynb
• 04.2-Clustering-KMeans.ipynb
• 04.3-Density-GMM.ipynb

5. Model Validation In-Depth

• 05-Validation.ipynb