StockPrediction | predicting stock price of a company by TensorFlow Keras

by HamidMoghaddam Python Version: Current License: No License

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kandi X-RAY | StockPrediction Summary

StockPrediction is a Python library. StockPrediction has no bugs, it has no vulnerabilities and it has low support. However StockPrediction build file is not available. You can download it from GitHub.

This is a project for predicting stock price of a company (Apple) at the end of a day based on its price at the beginning of that day. The aim of this project is to show how to make a prediction in the simplest way by TensorFlow (Keras (Azure Machine Learning (and Amazon Machine Learning (services. Thus, a deep neural network regression model with two hidden layers is used in TensorFlow, Keras and Azure Machine Learning service. In addition a regression model is used in Amazon Machine Learning service. It is worth noting that the machine learning part of Amazon console has only regression model and Amazon Machine Image should be used for deep learning.

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StockPrediction has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

StockPrediction has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of StockPrediction is current.

Quality

StockPrediction has no bugs reported.

Security

StockPrediction has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

StockPrediction does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

StockPrediction releases are not available. You will need to build from source code and install.

StockPrediction has no build file. You will be need to create the build yourself to build the component from source.

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StockPrediction Key Features

No Key Features are available at this moment for StockPrediction.

StockPrediction Examples and Code Snippets

No Code Snippets are available at this moment for StockPrediction.

Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install StockPrediction

You can download it from GitHub.
You can use StockPrediction like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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