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ScratchML

A python package with implementations of Machine Learning algorithms from scratch.

Contents

Algorithms Implemented:

Regression:

  1. Simple Linear Regression (scratchml.regression.SimpleLinearRegression)
  2. Multiple Linear Regression (scratchml.regression.MultipleLinearRegression)

Classification:

  1. Logistic Regression (scratchml.classification.LogisticRegression)
  2. Support Vector Machine (scratchml.classification.SVM)
  3. K-Nearest Neighbors (scratchml.classification.KNN)

Clustering:

  1. KMeans Clustering (scratchml.clustering.KMeans)
  2. KMedoids Clustering (scratchml.clustering.KMedoids)

Neural Networks:

  1. Perceptron (scratchml.nn.Perceptron)

Installing:

The project is available as a package on PyPI - ScratchML

To install it using pip: pip install scratchml

Metadata

Release files for scratchml 0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for scratchml 0.4
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Table of built distributions (wheels) for scratchml 0.4
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scratchml-0.4-py3-none-any.whl Python 3 none any Details

Total release size: 26.2 kB

Release files / scratchml-0.4.tar.gz

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