Metadata-Version: 2.1
Name: ZAIScikit
Version: 0.1.1
Summary: A Machine learning library
Home-page: https://github.com/Zakaria-El-Maachi/ZAI-Scikit
Author: Zakaria
Author-email: zakaria.elmaachi19@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

# Z-MachineLearningLibrary
Our Personal Machine Learning Library

This is a Machine Learning library that Abderrahmane Baidoune, Imane Rahali I would like to build in order to further our understanding of the algorithms and implement them from scratch with the help of numpy, no more.

Thus, optimization is not a concern to us, nor is documentation or code readability. Having said that, we will, and have tried to devote some effort to it !

<h5 style="color:green"> All Models' features need to be 2D Arrays even if there is one feature </h3>
<ul>
<li> Better OOP Design and Redundancy Omitting
<li> To be implemented :
    <ul>
        <li> DBSCAN and HDBSCAN
        <li> UMAP
        <li> Reinforcement Learning
        <li> AlphaZero
        <li> Factorization Methods
        <li> Convolutional Neural Networks
        <li> RNN + LSTM
        <li> Transformers
    </ul>
<li> Needs Better Implementations :
    <ul>
        <li> Faster BallTree / KDTree Algorithms for KNN
    </ul>
</ul>
