A Machine learning library
Project description
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 !
All Models' features need to be 2D Arrays even if there is one feature
- Better OOP Design and Redundancy Omitting
- To be implemented :
- DBSCAN and HDBSCAN
- UMAP
- Reinforcement Learning
- AlphaZero
- Factorization Methods
- Convolutional Neural Networks
- RNN + LSTM
- Transformers
- Needs Better Implementations :
- Faster BallTree / KDTree Algorithms for KNN
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