The goal of the project is to predict price changes in the future for a given stock. Information that might be leveraged to make these predictions more accurate include prices from previous days, and financial news articles related to the company of interest. Models - Logistic Regression, Naive Bayes Classification, LSTM (Recurrent Neural Network); using Historical data and Financial news.
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classificationlogistic-regressionlstmnaive-bayesrecurrent-neural-networks
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