mickaellegal/dotfiles
.files, including ~/.osx — sensible hacker defaults for OS X
Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.
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.files, including ~/.osx — sensible hacker defaults for OS X
Cookiecutter template for a Python package. See https://github.com/audreyr/cookiecutter.
Repository for example code from The Nature of Code book
Actions in Launch Center Pro to create quick entries in Day One