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Name: Wendy Hou
Type: User
Bio: Graduating Data Science Master’s at NYU seeking Full-Time Data Science/Engineering Roles | Python, SQL, Spark, Tableau
Location: New York, NY
Name: Wendy Hou
Type: User
Bio: Graduating Data Science Master’s at NYU seeking Full-Time Data Science/Engineering Roles | Python, SQL, Spark, Tableau
Location: New York, NY
Implementation of safe offline bandit algorithms.
NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling
The goal of this project is to predict the infection rate of U.S. counties that are missing from Johns Hopkins' COVID-19 daily reports based on their county feature data, including but not limited to population, education, public and private healthcare information, and popular transportation methods.
PyTorch code for end-to-end spoken language understanding (SLU) with ASR-based transfer learning
This setup allows to train end-to-end neural models for spoken language understanding (SLU).
Machine learning course materials.
Deep Learning (with PyTorch)
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
This is Wangrui (Wendy) Hou's resume. Wendy is a Master's student in Data Science at New York University.
Variational autoencoders for collaborative filtering
The purpose of this data mining project is to examine how restaurants can improve their Yelp profile to become more “successful” on Yelp in Las Vegas, Nevada. Different from the traditional approaches to this dataset, our methodology defines “success” as a binary variable through an exploratory analysis of the restaurants’ review counts and ratings on Yelp. Feature variables include categories and attributes that Yelp users can use to select which restaurant to visit. For this project, we ran Decision Tree, Random Forest, and Logistic Regression to explore key features associated with “success” and obtain recommendations for restaurants to improve their Yelp profile. Final results indicate that determinants of success vary by cuisine type.
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.