hunjaechung Goto Github PK

1.usa.gov-data

2015

Public material for CS109

adv-r

Advanced R programming: a book

alphago

A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.

ams-2013-2014-solar-energy

awesome-r

A curated list of awesome R packages, frameworks and software.

data-science-blogs

A curated list of data science blogs

data.table

R's data.table package extends data.frame. More info:

devtools

Tools to make an R developer's life easier

dplyr

Dplyr: A grammar of data manipulation

dplython

dplyr for python

efficient_frontier

Code along the Data Shenanigans blog

encaion

main page of Encaion's things

eurostat

R tools for Eurostat data

fredapi

A wrapper for the St. Louis Fed's Federal Reserve Economic Data (FRED) API for R

fredr

FredR: R Interface to Federal Reserve Economic Data API

fredr-1

Interact with the FRED API in the R workspace

generative-adversarial-networks-

simple generative adversarial networks using r

ggplot2

An implementation of the Grammar of Graphics in R

go

The Open Source Data Science Masters

googlesheets

Google Spreadsheets R API

ikreporting

Ilya Kipnis's package for performance reporting

imfdata

An R package for IMF data api

kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

korea_real_estate_analysis

부동산 데이터 분석 코드 및 데이터

mixer

Mixed Incremental Cross-Entropy REINFORCE ICLR 2016

portfolioanalytics

:exclamation: This is a read-only mirror of the CRAN R package repository. PortfolioAnalytics — Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pythondotorg

Source code for python.org