linuxster's repositories
machine-learning
machine learning octave code
Artificial-Intelligence-and-Machine-Learning
Algorithm implementations and homework solutions for the Stanford's online courses
Stanford-Machine-Learning
Practice codes for Stanford Machine Learning online course
2012-01_Stanford_CS228
Probabilistic Graphical Models
538model
538 Election Forecasting Model
coursera-course-statistics_one
Statistics One offered by Andrew Conwa of Princeton University on Coursera
d3talk
baby steps in d3.js
data_hacks
Command line utilities for data analysis
machine-learning-coursera
This is a repository for storing artifacts from coursera machine learning course.
mass-scraping
Quickly download and scrape websites on a massive scale.
ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
pgm-class
Solutions to programming assignments of the Stanford probabilistic graphical models course
py-coursera
Python framework for Coursera PGM and ML homeworks
querybyspec
Java DDD specification and repository library. Provides both an in-memory and JPA implementation to query by specification
Rdatasets
An archive of datasets distributed with R
resume
My CV/resume in LaTeX.
resume-1
My resume as a PDF including the well commented Latex sources and build instructions.
scala-coursera
Functional Programming Principles in Scala (Sep 18th 2012)
statlib
Bayesian State Space and Dynamic Models