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GitHub / JordiCorbilla / stock-prediction-deep-neural-learning

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JordiCorbilla%2Fstock-prediction-deep-neural-learning
PURL: pkg:github/JordiCorbilla/stock-prediction-deep-neural-learning

Stars: 595
Forks: 126
Open issues: 0

License: cc0-1.0
Language: Jupyter Notebook
Size: 36.4 MB
Dependencies parsed at: Pending

Created at: about 5 years ago
Updated at: 4 months ago
Pushed at: 5 months ago
Last synced at: 4 months ago

Topics: crypto, cryptocurrency, deep-learning, deep-neural-networks, finance, jupyter-notebook, lstm, lstm-model, lstm-neural-networks, machine-learning, market-data, recurrent-neural-networks, stock, stock-prediction, stock-prices, time-series, yfinance

Funding Links https://www.paypal.me/jordicorbilla, https://github.com/sponsors/JordiCorbilla

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