DSciBox

DSciBox (Data Science Toolbox) has tools for data preprocessing, classification, regression and clustering, etc.

https://github.com/ferreirad08/DSciBox

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Currently available functions:

PREPROCESSING

- Principal Component Analysis
- Min-Max Normalizer
- Quantile Binning Transformation
- Feature Selection Based on Information Gain

UTILITIES

- Simple or Stratified Random Sampling
- Cross Validation
- Accuracy Classification Score
- Information Entropy
- Quantile Analysis
- Distance Matrix

CLASSIFICATION

- k-Nearest Neighbors
- Naive Bayes
- Decision Tree
- Perceptron Network

REGRESSION

- Linear Regression

CLUSTERING

- k-Means

Cite As

David Ferreira (2026). DSciBox (https://github.com/ferreirad08/DSciBox/releases/tag/1.0.9), GitHub. Retrieved .

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.9

See release notes for this release on GitHub: https://github.com/ferreirad08/DSciBox/releases/tag/1.0.9

1.0.8

See release notes for this release on GitHub: https://github.com/ferreirad08/DSciBox/releases/tag/1.0.8

1.0.7

See release notes for this release on GitHub: https://github.com/ferreirad08/DSciBox/releases/tag/1.0.7

1.0.6

See release notes for this release on GitHub: https://github.com/ferreirad08/DSciBox/releases/tag/1.0.6

1.0.5

See release notes for this release on GitHub: https://github.com/ferreirad08/DSciBox/releases/tag/1.0.5

1.0.4

See release notes for this release on GitHub: https://github.com/ferreirad08/DSciBox/releases/tag/1.0.4

1.0.3

See release notes for this release on GitHub: https://github.com/ferreirad08/DSciBox/releases/tag/1.0.3

1.0.2

See release notes for this release on GitHub: https://github.com/ferreirad08/DSciBox/releases/tag/1.0.2

1.0.1

See release notes for this release on GitHub: https://github.com/ferreirad08/DSciBox/releases/tag/1.0.1

1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.