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This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.

License: BSD 3-Clause "New" or "Revised" License

MATLAB 100.00%
classification cross-validation confusion-matrix data-science machine-learning-algorithms k-nearest-neighbor support-vector-machine leave-one-out-cross-validation random-forest linear-discriminant-analysis

machine-learning-toolbox's Introduction

Hi there ๐Ÿ‘‹ I am Too Jing Wei Mail


WordPress MATLAB LinkedIn Publons SCOPUS Google ResearchGate


Presently, I' m an active open-source contributor. You may check out my projects:

โšก Jx-AFST : Advanced Feature Selection Toolbox

  • Python

โšก Jx-WFST : Wrapper Feature Selection Toolbox

  • MATLAB Python

โšก Jx-FFST : Filter Feature Selection Toolbox

  • MATLAB

โšก Jx-MLT : Machine Learning Toolbox

  • Classification
    • MATLAB Python
  • Regression
    • Python

โšก Jx-NNT : Neural Network Toolbox

  • MATLAB

โšก Jx-DLT : Deep Learning Toolbox

  • MATLAB Python

โšก Jx-EMGT : Electromyography Feature Extraction Toolbox

  • MATLAB

โšก Jx-EEGT : Electroencephalogram Feature Extraction Toolbox

  • MATLAB

๐Ÿ˜„ : Stats

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๐ŸŒฑ : Trophy

jingweitoo

jingweitoo

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