ml-rants

Various machine learning code and pipelines, in various languages. Used also to support some of my blog posts at: kyrcha.info. Since GitHub does not render Rmd notebooks, these notebooks are rendered using Rpubs.

Contents

• Collinearity and feature selection
• Optimizing XGBoost and Random Forests with Bayesian Optimization
• Fitting modified Gompertz and Baranyi equations for bacterial growth in R - Rendered

Rendering Instructions

Rendering instructions for Rmd documents.

To render Rmd in markdown:

rmarkdown::render('CollinearityAndFeatureSelection.Rmd', output_format = 'md_document')

To render Rmd in html:

rmarkdown::render('CollinearityAndFeatureSelection.Rmd', output_format = 'html_document', output_dir = './docs')