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GitHub / CYBERDEVILZ / Stock-Market-Prediction

An attempt to predict the Stock Market Price using Long Short Term memory and plot its chart. By tweaking different hyper parameters, we get different trained models. The aim of this project is to identify the relation hidden in these hyper parameters.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CYBERDEVILZ%2FStock-Market-Prediction

Stars: 6
Forks: 4
Open Issues: 0

License: None
Language: PureBasic
Repo Size: 220 MB
Dependencies: 0

Created: over 2 years ago
Updated: about 1 month ago
Last pushed: over 1 year ago
Last synced: 26 days ago

Topics: deep-learning, feature-scaling, hacktoberfest, jupyter-notebook, long-short-term-memory, lstm, lstm-neural-networks, machine-learning, python3, recurrent-neural-networks, research-project, stock-price-prediction, tensorflow2, tkinter-gui

Funding links: https://github.com/sponsors/CYBERDEVILZ

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