sinanw/lstm-stock-price-prediction

This project implements a time series multivariate analysis using RNN/LSTM for stock price predictions. A deep RNN model was created and trained on five years of historical Google stock price data to forecast the stock performance over a two-month period.

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27

Forks

20

Language

Jupyter Notebook

License

MIT

Last pushed

Apr 11, 2024

Commits (30d)

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