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).

A C++/OpenGL/OpenAL based application built with CMake for Linux/Windows/macOS/WebAssembly

Home of the GLM-AED project - software to simulate aquatic systems

ARehab is a free software for physical rehab, aided by augmented reality technologies and user tracking systems, such as Microsoft Kinect v2.

Threejs/glm (C++)/pyglet/Unity examples for deep understanding of projection matrix (OpenGL)

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.

Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈

Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice

H2O-3 Examples in R

데이터 과학 모형

# 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

This repo contains material for a workshop on Random Forests in phonetics/phonology research

Regression class files, examples and comments

🏙 🏛 Basic procedural generation of a 3D city with FreeGlut and OpenGL ✏

Course website for UCLA Biostat 200C - 2023 Spring

My portfolio of algorithms I used to analysize various shapes and forms of data with statistical and machine learning tools.

Research on Superb Lyrebird Distribution and Abundance in Victoria Before and After the Black Saturday Bushfires

Analysis of Categorical Variables

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…