Andre Madsen's repositories
LMS-reference-curve
LMS growth chart algorithm
ML_Prediction_web-app
How to deploy previous 'randomForest' ML model as a 'Shiny' web application
Neural_network_classification
Using the 'neuralnet' package in R for machine learning classification
Principal_component_analysis
My pipeline for applying PCA for 'endocrine profiling'
R_Cheat_Sheet
Essential tricks for big data analysis in R
Random-Forest-ML
Machine learning tutorial 'iris'
randomForest
[R code] Application of the random forest machine learning classification algorithm
Reference_intervals
Establish continuous nonparametric 95% reference intervals
Tidymodels-XGBoost-and-ML-explainability
Using tidymodels to create a viable ML model for binary classification and explaining variable contribution for individual prediction scores
XGBoost_Machine_Learning
[R code] xgboost to classify female puberty status from the endocrine profile feature variable: