A tool to predict the sign of stock change using Time-Lag method and Machine Learning algorithms with Keras and SK-learn, which gave a maximum accuracy of 89%(LSTM).
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A ML model to predict if a company’s stock value will go up or down using Python and Sci-kit learn library.
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