Predicting the Dow Jones Industrial Average with Sentiment-Enhanced LSTM Models
Project demonstrating the efficacy of LSTM models in enhancing prediction of stock indexes such as the DJIA. Tools Used: Python, R
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Project demonstrating the efficacy of LSTM models in enhancing prediction of stock indexes such as the DJIA. Tools Used: Python, R
Literature review and application of Hidden Markov Model methods to the Penn Treebank dataset for STATS 230: Statistical Computing Methods. Tools Used: Python, R
Guest lecturer for STATS 295, a graduate-level special topics course in machine learning.
Short research paper completed as part of the PREDOC Summer Program 2022 at Harvard University’s Opportunity Insights, a data analytics training course directed by economists Raj …