This website contains Python notebooks that accompany our review entitled A high-bias, low-variance introduction to Machine Learning for physicists . An updated version of the review can be downloaded here . This webpage is no longer being updated. Please use these notebooks on our Github depository .

Datasets: Most of the examples in the notebooks use the three datasets described below. Details on the datasets can be found in the Appendix of the review.

Python Information : It is recommended that users use Python 3.6 or above (though most notebooks will work with any version of Python 3). Notebooks contain instructions for installing and downloading appropriate packages.