nunnpyy

Name	nunnpyy JSON
Version	1.0.0 JSON
	download
home_page	None
Summary	A collection of machine learning algorithms implementations
upload_time	2025-07-17 16:01:23
maintainer	None
docs_url	None
author	Your Name
requires_python	>=3.6
license	None
keywords	machine learning algorithms data science ai ml
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            """
# 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
"""

            

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