rahiyer/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
Discovered public repositories for rahiyer in the GitHub catalog.
Classical equations and diagrams in machine learning
The configuration framework for Zsh
A community-driven framework for managing your zsh configuration. Includes 120+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, macports, etc), over 120 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
An ongoing fun challenge where I'll try to post one Python benchmark per day.
Sublime Text 2 plugin integrating coverage.py analysis and highlighting for Python
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Statistics with Interactive R Learning
Public repository.
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised and unsupervised machine learning techniques.
scikit-learn: machine learning in Python
cloned from https://bitbucket.org/hibbelig/dired
A library for reading and writing C3D binary files