Machine Learning in R
-
Updated
Aug 12, 2024 - R
Machine Learning in R
Toolbox for Bayesian Optimization and Model-Based Optimization in R
shiny-mlr: Integration of the mlr package into shiny
Filter-based feature selection for mlr3
Meta-learning basic suite for machine learning experiments.
🪙 Linear regression model, predict monthly transaction amount
R implementation of the Non-dominated Sorting Genetic Algorithm III for multi objective feature selection
A comparison of various ensemble machine learning algorithms (XGboost, random forest, ranger) to predict accelerometers
Using regression analysis to create a prediction model to forecast Victorian COVID-19 cases.
Machine Learning algorithms in R
Classifying NBA player position based solely on performance statistics
Using a telecom company's data of services provided to customers and observing how customers use it to predict if they will decide to continue or cease to be a customer of the company.
Climate change is a key factor in how extreme weather events affect how ecosystems and species react to these changes in temperatures. University of British Columbia's (UBC) Botanical Garden is interested in improving microclimate information within the garden to understand how areas with shade create respite zones for species. Due to the recent…
Machine learning models build on real time data
Add a description, image, and links to the mlr topic page so that developers can more easily learn about it.
To associate your repository with the mlr topic, visit your repo's landing page and select "manage topics."