LearnSL1.0.0 package

Learn Supervised Classification Methods Through Examples and Code

act_method

Activation Function

decision_tree

Decision Tree

knn

K-Nearest Neighbors

multivariate_linear_regression

Multivariate Linear Regression

perceptron

Perceptron

polynomial_regression

Multivariate Polynomial Regression

print.tree_struct

Print Tree Structure

Download source packageRead PDF manual

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.

  • Maintainer: Víctor Amador Padilla
  • License: MIT + file LICENSE
  • Last published: 2023-09-19

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