Student Course Recommendation

by quickstarts

This is the Student Course Recommendation project from TeamAlpha

Use the open source, cloud APIs, or public libraries listed below in your application development based on your technology preferences, such as primary language. The below list also provides a view of the components' rating on different dimensions such as community support availability, security vulnerability, and overall quality, helping you make an informed choice for implementation and maintenance of your application. Please review the components carefully, having a no license alert or proprietary license, and use them appropriately in your applications. Please check the component page for the exact license of the component. You can also get information on the component's features, installation steps, top code snippets, and top community discussions on the component details page. The links to package managers are listed for download, where packages are readily available. Otherwise, build from the respective repositories for use in your application. You can also use the source code from the repositories in your applications based on the respective license types.

Development Environment

We used Jupyter Notebook for development and debugging
n

notebookby jupyter

Jupyter Interactive Notebook

JavaScript Updated: 3 mo ago License: Proprietary

Support
Quality
Security
License
Reuse

Data Mining

n

numpyby numpy

The fundamental package for scientific computing with Python.

Python Updated: 11 d ago License: Permissive

Support
Quality
Security
License
Reuse

Machine Learning

t

tensorflowby tensorflow

An Open Source Machine Learning Framework for Everyone

C++ Updated: 4 d ago License: Permissive

Support
Quality
Security
License
Reuse

Kit Solution Source

Our solution and all dependent assets are available in the below repository.
s

student-grade-analyticsby balaji-munusamy

Analyse academic and non-academic information of students and predict grades

Jupyter Notebook Updated: 2 mo ago License: Permissive

Support
Quality
Security
License
Reuse

Kit Deployment Instructions

The entire solution is available as a package to download and install from the source code repository. Run the command 'pip install -r requirements.txt' to install all the dependencies.
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from
over 430 million Knowledge Items