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This repo contains implementations of ML algorithms without using builtin methods

Python 2.90% Jupyter Notebook 97.10%
algorithms collaborate datacamp github github-campus-experts jupyter-notebook learn machine-learning machine-learning-algorithms python replit student-vscode

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ml-algorithms-from-scratch's Issues

Decision Tree

  • Add formulas used in DT implementation
  • Create readme
  • Add reference & explanations to DT readme

Nonparametric Regression

  • Add formulas used in discrimination by nonparametric regression implementation
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  • Add reference & explanations to nonparametric regression readme

Regression

  • Add formulas used in discrimination by regression implementation
  • Create readme
  • Add reference & explanations to regression readme

Naive Bayes

  • Add formulas used in Naive Bayes implementation
  • Add references & explanations to Naive Bayes

One vs All SVM

  • Add formulas used in oVa SVM implementation
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  • Add reference & explanations to oVa SVM readme

Spectral Clustering

  • Add formulas used in spectral clustering implementation
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  • Add reference & explanations to spectral clustering readme

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