Introduction to Scikit-Learn

This tutorial covers the following concepts:

• How to download toy datasets from sklearn (Boston housing)
• How to use the sklearn API (fit(), transform() and predict() methods)
• How to do data-preprocessing with sklearn
• How to train a linear regression model and evaluate it (R2 score)
• How to use gradient boosting
• How to use the Pipeline and FeatureUnion classes
• How to create a custom transformer
• How to create a custom regressor

Link to Code (as HTML file)

sklearn.html