MachineLearning-Basics is a framework designed to facilitate work on university-specific projects. It offers an easy-to-use library that can be installed via pip, making it accessible for students and researchers alike. This repository is ideal for those looking to implement machine learning concepts in an academic setting.
- Easy installation: Simply use pip to add this library to your project.
- University-focused: Tailored for academic projects and research in machine learning.
- Python-based: The entire framework is written in Python, ensuring compatibility with a wide range of existing tools and libraries in the data science ecosystem.
To install MachineLearning-Basics, you can use:
pip install https://github.com/SamthinkGit/MachineLearning-Basics/releases/download/install/mlbasics-0.0.1-py3-none-any.whlAfter installation, import the library into your Python script to start using its functionalities. Detailed usage instructions and examples are provided in the documentation within the repository.
This project is licensed under the MIT License - see the LICENSE file for details.