Machine-Learning-University-Prediction-System
kandi X-RAY | Machine-Learning-University-Prediction-System Summary
kandi X-RAY | Machine-Learning-University-Prediction-System Summary
Machine-Learning-University-Prediction-System is a Python library. Machine-Learning-University-Prediction-System has no bugs, it has no vulnerabilities and it has low support. However Machine-Learning-University-Prediction-System build file is not available. You can download it from GitHub.
Machine-Learning-University-Prediction-System
Machine-Learning-University-Prediction-System
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Support
Machine-Learning-University-Prediction-System has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
Machine-Learning-University-Prediction-System has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Machine-Learning-University-Prediction-System is current.
Quality
Machine-Learning-University-Prediction-System has no bugs reported.
Security
Machine-Learning-University-Prediction-System has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Machine-Learning-University-Prediction-System 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.
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Machine-Learning-University-Prediction-System releases are not available. You will need to build from source code and install.
Machine-Learning-University-Prediction-System has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed Machine-Learning-University-Prediction-System and discovered the below as its top functions. This is intended to give you an instant insight into Machine-Learning-University-Prediction-System implemented functionality, and help decide if they suit your requirements.
- Compute the classifier .
- Loads the training data .
- Compute the Stanford Stanford Stanford Corpus for the given UCI .
- Calculates the Gaussian distribution .
- Split train and test data .
Get all kandi verified functions for this library.
Machine-Learning-University-Prediction-System Key Features
No Key Features are available at this moment for Machine-Learning-University-Prediction-System.
Machine-Learning-University-Prediction-System Examples and Code Snippets
No Code Snippets are available at this moment for Machine-Learning-University-Prediction-System.
Community Discussions
No Community Discussions are available at this moment for Machine-Learning-University-Prediction-System.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Machine-Learning-University-Prediction-System
You can download it from GitHub.
You can use Machine-Learning-University-Prediction-System 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.
You can use Machine-Learning-University-Prediction-System 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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