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Barebones numpy implementations of basic Machine Learning algorithms, and their examples with scikit-learn.

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ranamihir/machine_learning_basics

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This repository contains (bare-bones) pure numpy implementations in the scikit-learn API format of the following basic Machine Learning algorithms:

  • Linear Regression
  • Logistic Regression
  • kNN
  • kMeans
  • Decision Trees
  • Random Forests
  • Gradient-boosted Trees

Some scikit-learn examples of these examples are also provided in the scikit-examples folder.

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Barebones numpy implementations of basic Machine Learning algorithms, and their examples with scikit-learn.

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