A statistical analysis and predictive modeling project in R, examining how lifestyle and clinical factors relate to diabetes risk using real public health survey data. Combines formal hypothesis ...
Project Scope Build a clean, modular machine-learning pipeline to classify Iris species using feature engineering, preprocessing, logistic regression, and evaluation artifacts.
The full Colab notebook implementing the data cleaning, chi-square tests, multinomial and binary logistic regressions, and ROI bootstrapping. CSV files containing intermediate and final analysis ...
Our three-level multinomial logistic framework, trained separately for each possible outcome and combined through a principled normalization procedure, was evaluated on held-out data. The framework ...
aInstitute of Computer-Assisted Cardiovascular Medicine, Deutsches Herzzentrum der Charité Augustenburger Platz 1, 13353 Berlin, Germany bDepartment of Congenital Heart Disease – Pediatric Cardiology, ...
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