sklearnforpython312 0.1.0

Machine learning examples and algorithms using scikit-learn for Python 3.12

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

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:

import sklearnforpython312

License

MIT License

Contributing

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

Author

Your Name