petershan1119 Goto Github PK
Type: User
Company: Columbia University
Location: New York, NY
Type: User
Company: Columbia University
Location: New York, NY
데이터 분석을 위한 베이지안 통계 모델링 with Stan & R
Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning, data engineering, team work, presentation, endurance of frustration, etc).
Python library for extracting quantitative, reproducible metrics of multi-level alignment between two speakers in naturalistic language corpora.
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Research on aggregated relational data
Article Sharing Task developed by Communication Neuroscience Lab @ Upenn
Performed Aspect Based Sentiment Analysis using Topic Modeling(LDA) and sentiment analysis and Regression analysis using Python and Spark on Yelp Restaurant Reviews. The objective of the project was to understand how to extract quantifiable information from reviews to understand the impact of the important aspects for different cuisines and their impact on overall ratings. This project was done in collaboration with my peers at Carlson School Of Management as part of Big Data Analytics Project.
Code for Applied Text Analysis with Python
Landmark-based audio fingerprinting
Distinct encoding of decision confidence in human medial prefrontal cortex
Bayes/Stan Short Course | July 2016 | NYC
사회과학자를 위한 데이터과학 방법론 (코드 저장소)
Implementing MCMC sampling from scratch in R for various Bayesian models
I put some codes of the exercises and contents in Bayesian Data Analysis, Third Edition (BDA3) (Andrew Gelman el al. (2013)).
Bayesian Data Analysis demos for R
Maximal Biclique Enumeration in Bipartite Graphs
R package for triadic analysis of affiliation networks
Bayesian Latent Space Model R package
Repo for Brain Networks course
Simon Jackman's "BUGS Examples" translated into Stan
NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling
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.