This repository contains my machine learning self-project and tutorials. It serves as a learning resource for anyone interested in exploring machine learning concepts and applying them to real-world problems.
In this project, I aim to learn various machine learning algorithms and techniques. The projects will be implemented using Python, C++ programming languages, CUDA and etc.
The tutorials in this repository are designed to provide step-by-step guidance on different machine learning topics. Each tutorial focuses on a specific concept or technique and includes code examples and explanations to help me understand and implement it.
The following tutorials are currently available:
Feel free to explore the tutorials and follow along to enhance your understanding of machine learning.
To get started with this project and tutorials, follow these steps:
- Clone the repository:
git clone https://github.com/Alexander-Zadorozhnyy/ml-practices.git - Install the required dependencies:
pip install -r requirements.txt - Explore the project files and tutorials in the repository.
If you'd like to contribute to this project, you can follow these steps:
- Fork the repository.
- Create a new branch:
git checkout -b feature/your-feature - Make your changes and commit them:
git commit -m 'Add your feature' - Push to the branch:
git push origin feature/your-feature - Submit a pull request.
This project is licensed under the MIT licence. See the LICENSE file for more details.
If you have any questions or suggestions regarding this project, feel free to reach out to me at sasha.zadorojnii2013@yandex.ru.