A custom machine learning library containing several models
Project description
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
Release history Release notifications | RSS feed
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