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GitHub / 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.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sinanw%2Flstm-stock-price-prediction

Stars: 0
Forks: 0
Open Issues: 0

License: mit
Language: Jupyter Notebook
Repo Size: 5.67 MB
Dependencies: 0

Created: about 2 months ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: about 1 month ago

Topics: artificial-intelligence, long-short-term-memory, lstm, machine-learning, multivariate-analysis, recurrent-neural-networks, rnn, stock-analysis, stock-price-prediction, time-series-analysis

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