Metadata-Version: 2.4
Name: sklearnforpython312
Version: 0.1.0
Summary: Machine learning examples and algorithms using scikit-learn for Python 3.12
Author-email: Your Name <your.email@example.com>
License: MIT
Project-URL: Homepage, https://github.com/yourusername/sklearnforpython312
Project-URL: Documentation, https://github.com/yourusername/sklearnforpython312
Project-URL: Repository, https://github.com/yourusername/sklearnforpython312.git
Project-URL: Issues, https://github.com/yourusername/sklearnforpython312/issues
Keywords: machine-learning,scikit-learn,sklearn,algorithms,examples
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
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: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: scikit-learn>=1.0.0
Requires-Dist: numpy>=1.20.0
Requires-Dist: pandas>=1.3.0
Requires-Dist: matplotlib>=3.4.0
Dynamic: license-file

# sklearnforpython312

A comprehensive collection of machine learning algorithms and examples using scikit-learn for Python 3.12.

## About

This package contains implementations and demonstrations of various machine learning techniques including:

- **Clustering Methods** (em.py, id.py)
- **Classification Algorithms** (knn.py, knn2.py, lr.py, lr1.py, nb.py, svm2.py, svm3.py)
- **Dimensionality Reduction** (pca.py)
- **Neural Networks** (slp.py, slp2.py, mlp.py, mlp2.py, mlpag.py)
- **Regression** (lwr.py)
- **Utilities** (cm.py, nl.py, sp.py, dt.py, dt1.py)

## Installation

```bash
pip install sklearnforpython312
```

## Requirements

- Python 3.8+
- scikit-learn >= 1.0.0
- numpy >= 1.20.0
- pandas >= 1.3.0
- matplotlib >= 3.4.0

## Usage

Each module in this package demonstrates different ML techniques. Import them individually:

```python
import sklearnforpython312
```

## License

MIT License

## Contributing

Contributions are welcome! Please feel free to submit pull requests.

## Author

Your Name
