Pinned Repositories
Stock-returns-forecasting-using-Bayesian-methods
Forecast monthly stock returns by implementing a hidden Markov model with MCMC sampling using
Volume-volatility-and-sentiment
Estimate stocks' volume-volatility elasiticity around public announcements and check how it is affected by investor's sentiment and dispersion
Automatic-job-relavance-scoring
Automatically extract the links from the unread subscribed emails with a certain label, and retrieve the job description texts. Then estimate the relevance of the job using a list of key words.
Machine-Learning-Practices
Apply the machine learning methods to solve real-word problems
News-scraping-and-textual-analysis
Scrape news and apply textual analysis for the negative tone measure of the title
Predict-uncertainty-shock-using-news
This projects uses scraped news from major news wires and then implement machine learning methods to predict uncertainty shocks generated by ARIMA models.
yxue02's Repositories
yxue02/Machine-Learning-Practices
Apply the machine learning methods to solve real-word problems
yxue02/News-scraping-and-textual-analysis
Scrape news and apply textual analysis for the negative tone measure of the title
yxue02/Predict-uncertainty-shock-using-news
This projects uses scraped news from major news wires and then implement machine learning methods to predict uncertainty shocks generated by ARIMA models.
yxue02/Automatic-job-relavance-scoring
Automatically extract the links from the unread subscribed emails with a certain label, and retrieve the job description texts. Then estimate the relevance of the job using a list of key words.
yxue02/Stock-returns-forecasting-using-Bayesian-methods
Forecast monthly stock returns by implementing a hidden Markov model with MCMC sampling using
yxue02/Volume-volatility-and-sentiment
Estimate stocks' volume-volatility elasiticity around public announcements and check how it is affected by investor's sentiment and dispersion