johnvonnewmann Goto Github PK

awesome-courses

List of awesome university courses for learning Computer Science!

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

buildingmachinelearningsystemswithpython

Source Code for the book Building Machine Learning Systems with Python

content

Official content for Harvard CS109

coursera-dl

A script for downloading course material (video's, pdfs, quizzes, etc) from coursera.org

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cs231n.github.io

Public facing notes page

curso_aeropython

Curso de iniciación a Python celebrado en la ETSI. Aeronáutica y del Espacio (UPM) Marzo 2014, Octubre 2014

dat3

General Assembly's Data Science course in Washington, DC

dat4

General Assembly's Data Science course in Washington, DC

datasciencecoursera

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

datasharing

The Leek group guide to data sharing

drake

A planning, control, and analysis toolbox for nonlinear dynamical systems. Please see the WIKI for documentation.

edx-learning-from-data

My solutions for the CaltechX Learning From Data course on edX.

fp101x-content

FP101x - Functional Programming MOOC Content

free-programming-books

gs-collections

A supplement or replacement for the Java Collections Framework.

gs-collections-kata

Training and exercises to learn GS Collections.

helloworld.md

iptv

Search and perform brute force attacks on illegal IPTV Servers

ipython-in-depth

IPython in-depth Tutorial, first presented at PyCon 2012

julia-mit

Tutorials and information on the Julia language for MIT numerical-computation courses.

labs

Scripts for HarvardX courses: PH525x

learndatascience

Open Content for self-directed learning in data science

numerical-mooc

A collaborative educational initiative in computational science and engineering.

numericalmethods

Some open material relating to the Southampton Numerical Methods course

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

r-graph-catalog

All graphs in “Creating More Effective Graphs”, made with R package ggplot2.