xgboost
97LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R xgboost package for gradient boosting. Use for high-performance classification, regression, and ranking.
Comprehensive R analytics skill for Claude Code with 93 package-level skills covering data manipulation, visualization, machine learning, web development, spatial analysis, and more.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R xgboost package for gradient boosting. Use for high-performance classification, regression, and ranking.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R packages for clustering analysis. Use for k-means, hierarchical clustering, and other clustering methods.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R cluster package for clustering algorithms. Use for PAM, CLARA, AGNES, DIANA, and other clustering methods.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R dbscan package for density-based clustering. Use for DBSCAN, OPTICS, and HDBSCAN clustering.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R factoextra package for cluster visualization. Use for visualizing clustering results and PCA.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R mclust package for model-based clustering. Use for Gaussian mixture models and model-based clustering.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R deep learning with torch, keras, tensorflow. Use for neural networks, CNNs, RNNs, and GPU acceleration.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R keras package for deep learning. Use for neural networks with TensorFlow backend.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R torch package for deep learning. Use for PyTorch-style neural networks in R.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R Rtsne package for t-SNE. Use for t-distributed stochastic neighbor embedding visualization.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R packages for dimensionality reduction. Use for PCA, t-SNE, UMAP, and other dimension reduction methods.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R irlba package for fast SVD/PCA. Use for truncated SVD and PCA on large matrices.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R umap package for UMAP. Use for Uniform Manifold Approximation and Projection visualization.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R Boruta package for feature selection. Use for all-relevant feature selection using random forest.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R machine learning frameworks. Use for unified ML workflows with tidymodels, caret, mlr3, and h2o.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R arules package for association rules. Use for mining frequent itemsets and association rules.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R caret package for machine learning. Use for training, tuning, and evaluating classification and regression models.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R e1071 package for SVM and misc functions. Use for support vector machines, naive Bayes, and clustering.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R gbm package for gradient boosting. Use for gradient boosted regression and classification models.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R h2o package for scalable ML. Use for distributed machine learning with AutoML and deep learning.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R kernlab package for kernel methods. Use for support vector machines and kernel-based learning.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R lme4 package for mixed-effects models. Use for fitting linear and generalized linear mixed-effects models.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R mlr3 package for machine learning. Use for modern ML framework with pipelines, tuning, and benchmarking.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R nlme package for mixed-effects models. Use for linear and nonlinear mixed-effects models with correlation structures.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: