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This repository consists of scripts from various projects that focuses in constructing machine learning models to predict health outcomes. The codes are written in R programming language.

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ML-models

This repository consists of scripts of various projects that focus in constructing machine learning models to predict health outcomes using various R packages (Caret's random forest and feature elimination method (RFE), SVM, XGBoost, ANN, SIAMCAT). The codes are written in R programming language.

SIAMCAT tutorial from the developer: https://konradzych.github.io/SIAMCAT/articles/SIAMCAT_vignette.html

Caret R package to perform machine learning models (Random forest, XGBoost, LDA, SVM, etc.): https://topepo.github.io/caret/index.html

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This repository consists of scripts from various projects that focuses in constructing machine learning models to predict health outcomes. The codes are written in R programming language.

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