ML Algorithms with NuMojo

This repository contains implementations of Machine Learning algorithms with NuMojo library as the backend. I created this repo for two main purposes,

1. I want to implement Machine learning algorithms from scratch by myself and understand them.

2. As a developer of the NuMojo library, this project helps identify areas for improvement and missing features in NuMojo. By implementing practical ML algorithms, I can better understand what features are lacking and what could be improved in NuMojo.

Current Implementations

• Linear Regression
• Logistic Regression

I will add more algorithms as I learn and implement.

Getting Started

This project uses Magic, the Mojo package manager. Follow these steps to get started:

1. Clone the repository:

   git clone https://github.com/shivasankarka/MLAlgorithms.git
   

2. Navigate to the project directory:

   cd MLAlgorithms
   

3. Run test files using Magic. For example, to test Linear Regression:

   magic shell
   cd tests
   mojo test_linearReg.mojo -I ../
   

Contributing

Contributions are welcome! If you'd like to improve existing ones, or enhance documentation, please feel free to submit a pull request.

Future Work

• Implement more ML algorithms (e.g., KNN, Decision Trees, Random Forests, SVM, KNN, Naive Bayes, Perceptron, etc)
• Optimize existing implementations for better performance
• Add more comprehensive testing and benchmarking

Acknowledgements

This project is inspired by:

• MojoMelo
• MLfromscratch

Many of the test cases are adapted from MojoMelo.