Package: UAHDataScienceSC 1.0.0

Andriy Protsak Protsak

UAHDataScienceSC: Learn Supervised Classification Methods Through Examples and Code

Supervised classification methods, which (if asked) can provide step-by-step explanations of the algorithms used, as described in PK Josephine et. al., (2021) <doi:10.59176/kjcs.v1i1.1259>; and datasets to test them on, which highlight the strengths and weaknesses of each technique.

Authors:Víctor Amador Padilla [aut], Juan Jose Cuadrado Gallego [ctb], Andriy Protsak Protsak [aut, cre], Universidad de Alcala [cph]

UAHDataScienceSC_1.0.0.tar.gz
UAHDataScienceSC_1.0.0.tar.gz(r-4.5-noble)UAHDataScienceSC_1.0.0.tar.gz(r-4.4-noble)
UAHDataScienceSC_1.0.0.tgz(r-4.4-emscripten)UAHDataScienceSC_1.0.0.tgz(r-4.3-emscripten)
UAHDataScienceSC.pdf |UAHDataScienceSC.html✨
UAHDataScienceSC/json (API)
NEWS

# Install 'UAHDataScienceSC' in R:
install.packages('UAHDataScienceSC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 6 exports 1 dependencies

Last updated 21 days agofrom:f297493769. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 17 2025
R-4.5-linuxOKFeb 17 2025

Exports:act_methoddecision_treeknnmultivariate_linear_regressionperceptronpolynomial_regression

Dependencies:cli

Basic Functionality of UAHDataScienceSC

Andriy Protsak Protsak

Rendered fromFundamentals.Rmdusingknitr::rmarkdownon Feb 17 2025.

Last update: 2025-02-17
Started: 2025-02-17