EdOptimize is an open-source learning analytics platform for K-12 digital learning systems.
-
Updated
Jun 5, 2021 - R
EdOptimize is an open-source learning analytics platform for K-12 digital learning systems.
An individual data analysis project in R, focusing on the educational findings in School data & Student Improvement
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.
A Tableau data story that consists of multiple visualizations analyzing the relationship between marriage and education trends in the United States between 1995 and 2015, determining how each trend was impacted by economic recessions over the years, and investigating the relationship's overall impact on each state's median household income.
This depository is Case Study 1 for Doing Data Science 6306 Section 401 Tuesdays at 9:30 - 11:00 PM EST, Cohort 2017 Spring semester at SMU -- "DDS-Case-Study-1" for short. Author: Yao Yao. This project was submitted through GitHub on RStudio version 1.0.136.
Содержит примеры цифровых логических схем к Logisim-Evolution
Add a description, image, and links to the educational-data topic page so that developers can more easily learn about it.
To associate your repository with the educational-data topic, visit your repo's landing page and select "manage topics."