Pinned Repositories
006966
데이터 분석을 위한 베이지안 통계 모델링 with Stan & R
10K-practice
ADS_Teaching
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).
align-linguistic-alignment
Python library for extracting quantitative, reproducible metrics of multi-level alignment between two speakers in naturalistic language corpora.
all_node_cuts
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
api-test
ARD
Research on aggregated relational data
article_sharing_task
Article Sharing Task developed by Communication Neuroscience Lab @ Upenn
Legislative_Data
Tools for manipulating legislative texts.
petershan1119's Repositories
petershan1119/BDA
petershan1119/BDA3
I put some codes of the exercises and contents in Bayesian Data Analysis, Third Edition (BDA3) (Andrew Gelman el al. (2013)).
petershan1119/CourseraML
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
petershan1119/Edgar_Items_Extract
petershan1119/Edgar_Items_NLP
petershan1119/eliot
petershan1119/front-end-angular-camp
프론트엔드 실전 AngularJS Camp 강의 진행 자료 저장소
petershan1119/gensim-doc2vec-spark
just a prototype
petershan1119/GibbsSampler
Gibbs Samplers in R
petershan1119/GrimmerSenatePressReleases
Grimmer's Senate Press Releases
petershan1119/iir
Machine Learning / Natural Language Processing / Information Retrieval
petershan1119/Issue-adjusted-model
Source code for the issue-adjusted model.
petershan1119/k-components
Source and examples for identification of k-components in graphs
petershan1119/linguo
a set of services that provide NLP facilities
petershan1119/Modeling-hw3
petershan1119/NaturalLanguageProcessing
A look into Topic Modeling and NLP
petershan1119/parallelR-biostat-2015
Materials for presentation on parallel R to the UC Berkeley biostatistics graduate students
petershan1119/QMSS_in_R
Code for Greg Eirich's QMSS courses at Columbia University
petershan1119/QMSS_package
R package for Greg Eirich's QMSS Courses at Columbia University
petershan1119/quant3materials
PhD course: Quantitative Methods for Political Science III (NYU) -- Recitation Materials
petershan1119/sas_util
Several SAS Utilities, some mine, some others
petershan1119/search-script-scrape
101 real world web scraping exercises in Python 3 for data journalists
petershan1119/senate_analyses
Statistical Analyses of the U.S. Senate
petershan1119/spark-stat243-2016
Materials for Spark demonstration in UC Berkeley Statistics 243, fall 2016
petershan1119/speech-learn
Modeling Relationship Between Congressional Speech and Ideology
petershan1119/stat243-fall-2013
Class repository for fall 2013 Statistics 243 (Intro to Statistical Computing) at UC Berkeley
petershan1119/TBS-to-PFC
Data and code for paper titled "Causal evidence for frontal cortex organization for perceptual decision making" by Rahnev, Nee, Riddle, Larson, and D'Esposito published in PNAS.
petershan1119/tensor
Multilinear Tensor Regression Application
petershan1119/text-as-data
Pipeline for Analyzing Text Data: Acquire, Preprocess, Analyze
petershan1119/topic_modeling_tutorial
Instructions & code for the EuroPython 2014 training session "Topic Modeling for Fun and Profit"