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open Graph Image
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open Graph Image
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is In Organization
No
is In Organization
Yes
description
In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.
description
Laravel is a web application framework with expressive, elegant syntax. We’ve already laid the foundation for your next big idea — freeing you to create without sweating the small things.
homepage
homepage
https://laravel.com
url
https://githubhelp/samuelo-101/stock-price-prediction-using-gan
url
https://githubhelp/laravel/laravel
disk Usage
107423
dis kUsage
10603
stargazer Count
0
stargazer Count
77564
forkCount
0
forkCount
23940
watcher Count
0
watcher Count
77564
created At
2022-09-23
created At
2011-06-08
license Info
MIT License
license Info
issues
0
issues
0
languages
2
languages
3
repository Topics
0
repository Topics
3
owner
samuelo-101
owner
laravel
owner Avatar
photo
owner Avatar
photo
other
other

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