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Exploratory Analysis of SwiftKey Text Data
This report presents an exploratory analysis of the SwiftKey text dataset. It summarizes the loading, cleaning, and analysis of Twitter, blog, and news text data. The report includes basic statistics, visualizations, and initial n-gram modeling steps toward building a predictive text application.
Analiza programelor de master oferite de Facultatea de Drept din cadrul UAIC Iasi
Scopul acestui articol este de a analiza numarul de locuri disponibile (atat cu finantare de la bugetul de stat, cat si in regim de taxa) oferite de Facultatea de Drept din cadrul Universitatii Alexandrul Ioan Cuza din Iasi pentru cele 12 specializari ale programelor de master propuse
SEQUÊNCIA DIGITAL INTERATIVA
ATIVIDADE 3 - PROF. ANTÔNIO INÁCIO
Vaccine Hesitancy in Africa — ML and Mixed Model Approaches
This dual methodological framework — combining machine learning for predictive feature selection with multilevel modeling for statistical inference — provides a comprehensive lens on vaccine hesitancy across Sub-Saharan Africa. The findings highlight both individual-level drivers (linguistic and civic integration, trust networks, lived service experience) and structural country-level factors, offering empirically grounded targets for context-aware public health interventions.
BMI modelization using the BHIS
A model for the square root of BMI on the Belgian Health Interview Survey (BHIS) data set `bmi_voeg`, using as covariates the General Health
Questionnaire score (GHQ), GP contact (SGP), and the demographic and socio-economic variables age, sex, smoking, education, and income. The modelisation takes into account the BHIS's design into account
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Rare Disease Atlas (Notre Dame summer research)