student-grade-analytics | Analyse academic and non-academic information of students and predict grades
kandi X-RAY | student-grade-analytics Summary
kandi X-RAY | student-grade-analytics Summary
student-grade-analytics is a Jupyter Notebook library. student-grade-analytics has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Analyse academic and non-academic information of students and predict grades
Analyse academic and non-academic information of students and predict grades
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Quality
Security
License
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Support
student-grade-analytics has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 12 months.
student-grade-analytics has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of student-grade-analytics is v1.0.0
Quality
student-grade-analytics has no bugs reported.
Security
student-grade-analytics has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
student-grade-analytics is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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student-grade-analytics releases are available to install and integrate.
Installation instructions are available. Examples and code snippets are not available.
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student-grade-analytics Key Features
No Key Features are available at this moment for student-grade-analytics.
student-grade-analytics Examples and Code Snippets
No Code Snippets are available at this moment for student-grade-analytics.
Community Discussions
No Community Discussions are available at this moment for student-grade-analytics.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install student-grade-analytics
Refer kits from the link below to jumpstart the app.
https://kandi.openweaver.com/collections/machine-learning/student-grades---predictive-analyti
https://kandi.openweaver.com/collections/machine-learning/education:-starter-kit---student-pe
Once python3 is installed, install all the dependencies by running the below command. pip3 install -r requirements.txt.
https://kandi.openweaver.com/collections/machine-learning/student-grades---predictive-analyti
https://kandi.openweaver.com/collections/machine-learning/education:-starter-kit---student-pe
Once python3 is installed, install all the dependencies by running the below command. pip3 install -r requirements.txt.
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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