🎓 An unsupervised learning project analyzing PISA 2018 data for Finland. Uses PCA and K-Means in R to identify and profile distinct student clusters. Developed for the ULM course at ISCTE.
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Updated
Oct 22, 2025 - R
🎓 An unsupervised learning project analyzing PISA 2018 data for Finland. Uses PCA and K-Means in R to identify and profile distinct student clusters. Developed for the ULM course at ISCTE.
Materiale didattico per gli studenti di Ingegneria Informatica presso l'università di Pisa (classe L-8).
Browser extension that adds detailed statistics to the University of Pisa's student transcript page
Questa repository non ufficiale, creata da studenti per studenti di Informatica (L-31) all’Università di Pisa, raccoglie appunti, consigli e link utili per chi segue questo corso di studi.
Interpretable machine learning models (Decision Trees, Random Forests, XGBoost) for predicting math underachievement using PISA 2022 UK data.
Nuovo sito in Astro per la DevFest 2025
R package for international educational survey data sets such as PISA, TIMMS etc. User's guide: https://naep-research.airprojects.org/Portals/0/EdSurvey_A_Users_Guide/_book/index.html
Visualizzazioni di Algoritmi studiati nel corso di Ricerca Operativa
Esercizi svolti e note @ UniPi - Informatica
Exploratory Data Analysis of the 2015 PISA results
PISA verileri ile yapılan görselleştirme proje reposudur.
Simple visualisation of the OECD PISA results
Student's Study Material repository for the Master's Degree in Biotechnologies and Applied Artificial Intelligence for Health
Secondo progetto universitario del corso di Programmazione II
Best Cities To Live
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