GitHub repository: sidn19/Stock-price-prediction
Primary language: Jupyter Notebook
Description: 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.