jljones Goto Github PK

2013_fall_astr599

Content for my Astronomy 599 Course: Intro to scientific computing in Python

algortihms_challenges

Solutions to programming challenges and algorithmic problems

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-public-datasets

An awesome list of high-quality open datasets (HQOD) in public domains (on-going).

banditsbook

Code for my book on Multi-Armed Bandit Algorithms

bc

This repository is now frozen - please see the note below.

berkeley

The Hacker Within at the University of California - Berkeley

bird-recognition

boot-camps

Software Carpentry boot camp material

courses

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

d3-book

Sample code files to accompany the book “Interactive Data Visualization for the Web”

data-science-at-the-command-line

Data Science at the Command Line

data-science-from-scratch

code for Data Science From Scratch book

data-science-primer

A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/

data-science-toolbox

Start doing data science in minutes

dataweek-workshop

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.

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

ds30

Data Science in 30 Minutes

food_sharing

A web app for neighbors to share extra food. The objective is to reduce food waste, distribute food to those who need it, and make use of food that expires soon and garden extras.

go

The Open Source Data Science Masters

interview_problems

Example coding interview problems found through online resources, Cracking the Code book, mentors and colleagues. An additional robust resource for example interview questions and solutions is at https://github.com/mmihaljevic/algortihms_challenges.

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

learndatascience

Open Content for self-directed learning in data science

learning_data_science

Machine learning exercises

mining-the-social-web-2nd-edition

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

ml-workshop

notebooks

Some sample IPython notebooks for scikit-learn

planets

Test repo. Originally for the python bootcamp 2015.

portfolio

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 ;)