Leverages extensive power of multiple Machine Learning algorithms & LLM to provide in-depth answers to medical queries and predicts condition/diseases based on patient symptoms
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Updated
Mar 11, 2024 - Jupyter Notebook
Leverages extensive power of multiple Machine Learning algorithms & LLM to provide in-depth answers to medical queries and predicts condition/diseases based on patient symptoms
Application of LSTM on stock data with integration of news info. It turns out that finance and political news directly relate to the stock prices.
We use the BERT language model for Twitter sentiment analysis leading to the US 2020 presidential elections. We investigate if sentiment analysis can provide an indication of the outcome of the results using canonical LSTM and BERT language model.
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