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Name: Natalie
Type: User
Bio: Enthusiastic about turning data into insights that can create social impact in international development.
Location: San Francisco
Name: Natalie
Type: User
Bio: Enthusiastic about turning data into insights that can create social impact in international development.
Location: San Francisco
Analysis of data on airplane accidents in the US
Identifying the best model for predicting bike rentals in DC 2011-2012.
Analysis of data from BoardGameGeeks
Forecasting Corporacion Favorita product sales. Exploratory forecasting of sales for ~4000 products across 54 grocery stores.
Analysis on Civil Rights Data on Educational Achievement and Opportunities (2013-2014)
Scraping and analysis of Egypt Job websites to gather information on labor market demands.
Pytorch flower image classifier. Final project for Udacity's Pytorch Challenge Scholarship.
Gender statistics on college graduates 1970-2012
Article popularity on Hacker News 2006-2015
Examines various models for predicting high value merchants using transaction data from an online payments platform.
Facebook data is used to examine post content of organizations and factors that affect follower engagement.
Examine strategies for winning on Jeopardy by parsing question, answer and associated value amounts.
Compressing Lending Club data from 2007-2011
Scrape and process job data from selected MENA countries.
Movie reviews from 4 different movie review services through 2015.
Determining the best performing NYC high schools (2012)
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
Download and process documents from PubMed
Analyzes data on recent college graduates from 2012-2014.
Optimizing storage and analysis of data from Crunchbase (through 2013).
Analysis of online survey data of Star Wars Fans run in 2014
Time series data on the S&P 500 used to predict future S&P 500 prices.
Analyzing daily stock price data over 2007-2017 using hash, arrays and lists.
Thanksgiving dinner statistics from an online survey run in 2015.
Statistics on US births from 2004-2014
Explores data on US gun deaths from 2012-2014.
Scrape html Wiki Pages and optimize speed of processing using thread and process pools.
Analysis of CIA sponsored data on population, land area etc. over time.
Initial data compression and analysis on Zillow Housing Data from Kaggle 2017 competition.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.