Shanqing Tan's repositories
Twitter-clustering
In this project, we collect the tweets from twitter API, using sentiment algorithm to divide users into two groups-positive and negative. Then using Spark to do k-means clustering in these two groups based on the followings of users. In the end, calculating the TF-IDF of tweets of different users, then do k-means clustering based on TF-IDF.
Language:Python000
machine_learning_MATLAB
Homework for machine learning class
Language:Matlab000
openwhisk-metrics
Node.js library to collect serverless application metrics from OpenWhisk actions
Language:JavaScriptNOASSERTION000