Predicting stocks and commodity prices using Python
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Updated
Apr 12, 2023 - Jupyter Notebook
Predicting stocks and commodity prices using Python
Prediction of Stock price using Recurrent Neural Network (RNN) models. Contains GRU, LSTM, Bidirection LSTM & LSTM combinations with GRU units. The models were deveoped using the keras module from Tensorlfow.
Fair value calculation for stocks
Predicting stock price highs and lows across exchanges using ML and time series models, built with Streamlit.
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