tobigithub / caret-machine-learning
Practical examples for the R caret machine learning package
☆66Updated 7 years ago
Alternatives and similar repositories for caret-machine-learning:
Users that are interested in caret-machine-learning are comparing it to the libraries listed below
- Pre-packaged plots in R☆85Updated 8 months ago
- Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.☆147Updated last month
- Tidy machine learning pipelines☆133Updated 7 years ago
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Updated 8 years ago
- Exploratory and diagnostic machine learning tools for R☆72Updated 3 years ago
- Package: R Interface to AutoKeras☆73Updated 4 years ago
- Machine learning dashboard created with R/shiny☆82Updated 3 years ago
- ARCHIVED Wraps UMAP Algorithm for Dimension Reduction☆112Updated 2 years ago
- Bayesian comparisons of models using resampled statistics☆102Updated 3 months ago
- An R package to create and visualise fast-and-frugal decision trees (FFTs)☆135Updated 3 months ago
- shiny-mlr: Integration of the mlr package into shiny☆93Updated 6 years ago
- Visualization and Imputation of Missing Values☆85Updated 4 months ago
- A random-forest-based approach for imputing clustered incomplete data☆35Updated 7 years ago
- Standard API for Distributed Data Structures in R☆118Updated 7 years ago
- Links to slides for talks at the 2017 rstudio::conf☆144Updated 2 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 6 years ago
- Empirical Bayes binomial estimation☆69Updated 3 years ago
- R package to interface with OpenML☆96Updated 7 months ago
- subsemble R package for ensemble learning on subsets of data☆43Updated 2 years ago
- Short tour of parallel and foreach packages, and how to think about scaling data analyses☆76Updated 4 years ago
- Recurrent Neural Networks in R☆75Updated last year
- Shiny App for Repeated Measurements Course☆82Updated 11 months ago
- Slides from various conferences☆48Updated 6 years ago
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆93Updated 2 years ago
- R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…☆45Updated 5 years ago
- A simpler ggplot2 syntax, saving half of your typing.☆79Updated 6 years ago
- Machine learning pipelines for R.☆67Updated 8 years ago
- Variable Selection Using Random Forests☆36Updated 6 months ago
- Feature Selection in R using glmnet-lasso, xgboost and ranger☆56Updated 5 months ago