Statistical Modeling

This part of the book will cover the classical methods that machine learning is measured against and often built on: linear and generalized linear regression with honest uncertainties, the bootstrap, probabilistic forecasts and their verification, and time-series models such as autoregressive and state-space models.

Until then, the Software Toolkit lists statsmodels and the time-series packages, and the Resources page points to texts on the underlying statistics.