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Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).
This repository illustrates some work in using GLMs to price car insurance based on car insurance policy and claim data. It also features some systematic data exploration and the use of MonteCarlo simulation to investigate the effectiveness of the pricing policies we are using.
# 2 & # 3 homeworks in "Statistical Methods for Data Science" course at La Sapienza University of Rome: analysis of fMRI scans for sick vs non-sick brains
Este projeto tem como objetivo, através de uma regressão múltipla, entender a demanda de energia gasta para aquecer prédios (construções de forma geral) como uma função de características dos prédio. O projeto visa aplicar o aprendizado das aulas do programa de Especialização em Data Science e Big Data da UFPR e compor parte da nota na disciplin…
An interactive Shiny app to demonstrate the continuity in General Linear Models (GLM), created for Advanced Design and Data Analysis at the University of Melbourne.