AureoZanon

Azure-MachineLearning-DataScience

BolsaFamiliaExplore

Repository for BolsaFamilia data exploration material started on Data for Democracy Hackathon in Chicago (03/31 & 04/01 - 2017)

brazil

Replication materials for "Campaign shocks and party support: evidence from Brazil’s 2014 presidential election"

BrazilianElections2018

Chicago-R-Meetup-Aug-2016

Chicago-R-Meetup-Shiny-Aug-2016

data

Data and code behind the stories and interactives at FiveThirtyEight

DataProducts

DeepLearning

DogBreedClassifier

Exploring the use of the Google Cloud Platform AutoML Vision capabilities to develop a dog breed classifier based on the Stanford Dog Breed data set (20,000 dog images and labels) available in Kaggle.com

dssg-manual

This repository contains the Eric & Wendy Schmidt Data Science for Social Good Fellowship Manual

H1B_visa_eda

Data Exploration on H-1B Visa dataset

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)

h2o-meetups

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

homebrew

:beer: The missing package manager for OS X.

ipyparallel

Interactive Parallel Computing in Python

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

nzelect

New Zealand election results data in convenient form of an R package

plotly

Create interactive web graphics from R via plotly's JavaScript graphing library

Python

Python code repository

PythonSandbox

swarmmode-tests

Series of test cases for Docker swarmmode

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

webinars

Code and slides for RStudio webinars

yelp-data-mining-loader

Python Program to Load Yelp Data from JSON Files into MySQL Database.

zmPDSwR

Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)

amazon-sagemaker-architecting-for-ml

Materials for a 3-day instructor led course on applying machine learning

ship-detection

Find the ships!