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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