Machine Learning with R – Second Edition, Second Edition

This is a repo for a class on Text as Data

SNA Course at UF Telecommunication

A document covering machine learning basics. 🤖📊

A book (in-progress) on social network analysis in education using R

A workshop on latent variables models including factor analysis, PCA, SEM, etc.

Workshop on using Mixed Models with R

The Schelling Model of Segregation: Static and Dynamic Equilibrium

Perspectives on Computational Analysis (MACS 30000), Autumn 2018

DataSource

Supervised Machine Learning workflow in R with multiple modelling using caret in R

Stanford's Math Camp for 2018

Scripts and data to go along with introductions to R

📖 📚 📰 Workshop that demonstrates using and analyzing text in R.

本Repository为中国人民大学朝乐门老师开源课程——《数据科学导论》

Machine learning for social sciences

An R package to estimate Generalized Exponential Random Graph Models

《简明 Python 教程》V4.0c 2017 译本 /A Byte of Python 2017 Simplified Chinese Translation Edition

Multivariate distance matrix regression in R

R package for data and code used in "Quantitative Social Science: An Introduction"

Some overlapping community detection algorithms (Until 2016). by Yulin Che (https://github.com/CheYulin) for the PhD qualification exam (survey on community detection algorithms)

a curated list of R tutorials for Data Science, NLP and Machine Learning

Demonstration of a standard topic model approach

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

Social Networks (SOC 204), Spring 2017

Preparation for my blog

R语言游戏数据分析与挖掘

Computational Social Science (SOC 596), Fall 2016

Hastily put together document with social science oriented demos of R.

Supplementary material for paper "Inferring social structure from continuous-time interaction data"