MachineLearning

I worked with Professor Mason Porter from UCLA’s Math Department on social network analysis, where I modeled a network to examine online community sentiment and behaviors (45k+ posts) under COVID lockdown. After extracting posts through requests and API, I conducted EDA and modeled the network using NetworkX. To examine users’ sentiments, I developed a deep learning sentiment analysis model for Mandarin Chinese text and achieved an 80+% accuracy. Check out my research proposal here or take a peek at my code base here....

In this project, I explored Oil Prices for the past 6 years (source) utilizing ARIMA and an state-of-the-art time series linear model. Check out my presentation here for to see the results. My ARIMA model achieved an MSE of 5.88 and < 0.01 for LSTF. Here’s the code for ARIMA models: GitHub repo.