Welcome to the Machine Learning Code Repository! This repository contains a collection of basic machine learning code and snippets that are commonly used in various projects and tasks.

The /codes folder contains more comprehensive code snippets and modules for tasks such as model generation, fitting, and evaluation. These code files are suitable for larger-scale projects and provide detailed implementations for machine learning tasks.

The /snippets folder contains shorter and more concise code snippets. These snippets serve as templates or examples for common machine learning tasks. They are designed to be easily understandable and adaptable for use in various projects and scenarios.

Contributions to this repository are welcome! If you have any useful machine learning code snippets or modules that you'd like to share with the community, feel free to submit a pull request. Please ensure that your contributions adhere to our coding standards and are well-documented to facilitate ease of use for other users.

This repository is licensed under the MIT License. Feel free to use and modify the code as needed for your own projects.