This project analyses and correlates student performance with different attributes. Then at last, it determines most suitable algorithm from bunch of them.
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Updated
Nov 1, 2017 - Python
This project analyses and correlates student performance with different attributes. Then at last, it determines most suitable algorithm from bunch of them.
Project for VTU result analysis, extraction and visualisations.
An advanced machine learning project for analyzing student performance, utilizing sociodemographic indicators. Hosted on AWS Elastic Beanstalk for real-time predictions and integrated with AWS CodePipeline for continuous integration and deployment.
Developed an end-to-end machine learning project using Docker and AWS, and implemented an industrial-grade code with modular architecture. The project focused on student performance prediction, achieving high accuracy through various machine learning algorithms.
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