Multi-modal OCR pipeline optimized for ML training (text, figure, math, tables, diagrams)
EdOptimize is an open-source learning analytics platform for K-12 digital learning systems.
A free, game-inspired English learning platform with structured 45-minute lessons, adaptive practice, vocabulary mini-games, and a local mentor. Proprietary freeware with an open educational data layer.
Análisis de los resultados PAES desde la Admisión 2023 en adelante identificando el ranking de los colegios.
O Foul_Calculator é um aplicativo que calcula automaticamente as faltas escolares em horas, com base na porcentagem de presença do aluno.
Содержит примеры цифровых логических схем к Logisim-Evolution
An individual data analysis project in R, focusing on the educational findings in School data & Student Improvement
For this project we will attempt to use K-Means Clustering to cluster Universities into to two groups, Private and Public.. The algorithm uses unsupervised learning.
Automated metadata extraction pipeline for International Large-Scale Assessment (ILSA) documents using RAG-based LLM architecture. 99.2% classification accuracy across 1,622 studies.
Binary classifier predicting student exam outcomes using study habits, Decision Tree: 82% accuracy, Logistic Regression comparison
Machine Learning aplicado à predição de risco de defasagem educacional — Datathon FIAP
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.
Academic machine learning project predicting student academic performance for the UdeA AI4ENG Kaggle competition. Implements data cleaning and label encoding with Gradient Boosting, XGBoost, AdaBoost, and CatBoost classifiers in Jupyter Notebooks, using the Kaggle API for data download.
Creating a toy-model approach for applying Quantum Principal Component Analysis for Educational Data
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.
Python-based Canvas API LMS Integration
Interactive dashboard and educational vulnerability index for Rio Grande do Sul municipalities using Python, Streamlit, geospatial analysis and Generative AI.
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.
Este repositorio da cuenta de información de un trabajo sobre calificaciones de asignaturas troncales entre las generaciones 2016 -2020 de un colegio particular pagado.
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