Metadata-Version: 2.1
Name: Mohamad_ml_library
Version: 0.0.1
Summary: A custom machine learning library containing several models
Home-page: https://github.com/Mohamad01/Mohamad_ml_library
Author: Mohamad El Mokdad
Author-email: mmokdad2001@gmail.com
License: MIT
Keywords: machine learning linear regression linear classifier neural networks decision trees SVM AI
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
License-File: LICENCE.txt

This Machine Learning library offers implementations of essential algorithms, including:

-Linear Regression
-Polynomial Regression
-Linear Classifier
-Decision Trees
-Support Vector Machine (SVM)
-Neural Networks

This project was created as part of a Machine Learning course, supervised by Prof. Hedi Tebia.

Features:
-Easy-to-use API for building and training models
-Comprehensive implementations of core machine learning algorithms
-Support for customizable hyperparameters, catering to both beginners and advanced users
Installation

Provide instructions for installation, such as using pip or cloning the repository, if applicable.

Change Log
==========

0.01 (17/11/2024)
-----------------
- First Release
