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Author or maintainer of the following packages:

caret

Misc functions for training and plotting classification and regression models.
caretEnsemble

Functions for creating ensembles of caret models: caretList and caretStack. caretList is a convenie...
dml

The state-of-the-art algorithms for distance metric learning, including global and local methods suc...
forecast

Methods and tools for displaying and analysing univariate time series forecasts including exponentia...
ggfortify

Unified plotting tools for statistics commonly used, such as GLM, time series, PCA families, cluster...
lfda

Functions for performing and visualizing Local Fisher Discriminant Analysis(LFDA), Kernel Fisher Dis...
pandas

Powerful data structures for data analysis, time series,and statistics
pandas-datareader

Data readers extracted from the pandas codebase,should be compatible with recent pandas versions
xgboost

Extreme Gradient Boosting, which is an efficient implementation of gradient boosting framework. This...
xgboost

XGBoost: eXtreme Gradient Boosting library. Contributors: https://github.com/dmlc/xgboost/blob/master/CONTRIBUTORS.md

Impact Percentile

80

Number of Packages

10

Package Downloads

66,715

Citations

0