Boosting algorithm(Machine learning) on Decision stumps(Decision tree with one split).
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Updated
Feb 8, 2017 - R
Boosting algorithm(Machine learning) on Decision stumps(Decision tree with one split).
This repository contains various classification, clustering and data analysis code.
Repository containing code for a package that implements a boosting algorithm for sliding landmark models.
My Solution for PrecisionFDA Brain Cancer Predictive Modeling and Biomarker Discovery Challenge
Machine Learning: Group Project
grur: an R package tailored for RADseq data imputations
Microeconometric analysis of social housing in Austria.
The Tidymodels Extension for Time Series Boosting Models
Replication files for my master's thesis. Component-wise boosting for identification of health risk factors.
Cost-sensitive loss in the component-wise boosting framework.
Identified the drivers of the risk of coronary heart disease and cardiovascular disease using the Sleep Heart Health Study dataset
Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).
Predictive Modeling and Clustering Insights for Success on Shark Tank
Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).
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