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A collection of machine learning algorithms implementations

Project description

"""

ML Algorithms Library

A comprehensive collection of machine learning algorithm implementations.

Installation

pip install ml_algorithms

Usage

from ml_algorithms import run
run()

This will display all the machine learning algorithm implementations including:

  • Candidate Elimination
  • ID3 Decision Tree
  • Naive Bayes
  • Backpropagation Neural Network
  • EM Algorithm
  • K-Nearest Neighbors
  • Locally Weighted Regression
  • Random Forest
  • Support Vector Machine

Requirements

  • Python 3.6+
  • NumPy
  • Pandas
  • Scikit-learn
  • Matplotlib """

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