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
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