Metadata-Version: 2.4
Name: nunnpyy
Version: 1.0.0
Summary: A collection of machine learning algorithms implementations
Author: Your Name
Author-email: honniganurnl@email.com
Keywords: machine learning,algorithms,data science,AI,ML
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.19.0
Requires-Dist: pandas>=1.3.0
Requires-Dist: scikit-learn>=0.24.0
Requires-Dist: matplotlib>=3.3.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: keywords
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

"""
# ML Algorithms Library

A comprehensive collection of machine learning algorithm implementations.

## Installation

```bash
pip install ml_algorithms
```

## Usage

```python
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
"""
