A custom machine learning library containing several models
Project description
This is a Machine Learning library designed to provide implementations of key algorithms, including: -Linear Regression -Polynomial Regression -Linear Classifier -Decision Trees -Support Vector Machine (SVM) -Neural Network
This project was developed as part of a Machine Learning course under the supervision of Prof. Hedi Tebia.
Features -Simple and intuitive API for building and training models -Implementation of core machine learning algorithms -Customizable hyperparameters for advanced users
Installation Provide installation instructions if applicable (e.g., via pip or directly from the repository)
Change Log
0.01 (17/11/2024)
- First Release
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