jburke007 Goto Github PK

bokeh

Interactive Web Plotting for Python

cayley

An open-source graph database

courses

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

custom-keenio-template

Custom keen.io template.

dat4

General Assembly's Data Science course in Washington, DC

data-science-blogs

A curated list of data science blogs

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

datakit

Connect processes into powerful data pipelines with a simple git-like filesystem interface

dataproc-initialization-actions

Run in all nodes of your cluster before the cluster starts - let's you customize your cluster

datasciencecoursera

Data Science Repository

datasharing

The Leek group guide to data sharing

deeplearningframeworks

Demo of running NNs across different frameworks

deeplearningmovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

developingdataproducts

Coursera final class in the Data Specialization Course

document-language-detection

Detects language of text within common user created files

donorschoose_visualization

dora

tools for exploratory data analysis in python

elastic_search_analytics

Various automation scripts for the use of elasticsearch in data analytics

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fuzzywuzzy

Fuzzy String Matching in Python

graphgist

Easy publishing with graph data included

java_programming

json-java

A reference implementation of a JSON package in Java.

jupyter

Jupyter metapackage for installation, docs and chat

kalman-and-bayesian-filters-in-python

Kalman Filter textbook using Ipython Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

learning-spark

Example code from Learning Spark book

machinelearning_fall2015

BUS 41204: Machine Learning

ml-from-scratch

Bare bones Python implementations of some of the foundational Machine Learning models and algorithms.

mlpb

Machine Learning Problem Bible