https://github.com/mjahmadee/machinelearning2023
Welcome to the official GitHub repository for the "Machine Learning" course 2023! In this course, we explore the fascinating world of machine learning, diving deep into the algorithms, techniques, and tools that enable computers to learn from data and make intelligent decisions.
https://github.com/mjahmadee/machinelearning2023
machine-learning python scikit-learn
Last synced: about 1 year ago
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Welcome to the official GitHub repository for the "Machine Learning" course 2023! In this course, we explore the fascinating world of machine learning, diving deep into the algorithms, techniques, and tools that enable computers to learn from data and make intelligent decisions.
- Host: GitHub
- URL: https://github.com/mjahmadee/machinelearning2023
- Owner: MJAHMADEE
- License: mit
- Created: 2023-09-30T19:00:01.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-14T16:10:15.000Z (over 2 years ago)
- Last Synced: 2025-04-06T14:11:50.624Z (about 1 year ago)
- Topics: machine-learning, python, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 59.9 MB
- Stars: 4
- Watchers: 1
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
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README
# Machine Learning Course Repository
Welcome to the official repository for the "Machine Learning" course! This repository contains all the resources and materials you need to succeed in the course.
## Course Overview
In this course, we will dive deep into the exciting field of machine learning. You'll learn the fundamentals of machine learning, explore various algorithms, and gain practical experience through hands-on assignments and projects.
## Repository Contents
### Code Examples
You'll find a collection of code examples in the `code-samples` directory. These examples will help you understand key machine learning concepts and techniques.
### Assignments
We have included a series of assignments in the `assignments` directory. These assignments are designed to reinforce your learning and provide practical experience. Please submit your completed assignments according to the guidelines provided in each assignment's README.
### Tutorials
The `tutorials` directory contains step-by-step tutorials on various machine learning topics. These tutorials will guide you through implementing algorithms and solving real-world problems.
### Resources
In the `resources` directory, you'll find supplementary materials such as lecture slides, reference guides, and recommended reading lists.
## Getting Started
To get started with the course, follow these steps:
1. Clone or fork this repository to your local machine.
2. Review the course materials in the respective directories.
3. Complete the assignments and projects as instructed.
4. Engage in discussions and ask questions in the course's [Issues](https://github.com/MJAHMADEE/MachineLearning2023/issues) section.
5. Stay updated with course announcements and updates by watching this repository.
## Contributing
We welcome contributions from students and the broader community. If you find issues, want to suggest improvements, or have your own machine learning projects to share, please open an issue or submit a pull request. Refer to our [Contribution Guidelines](CONTRIBUTING.md) for more details.
## Code of Conduct
Please review and adhere to our [Code of Conduct](CODE_OF_CONDUCT.md) to create a respectful and inclusive learning environment for everyone.
## License
This course repository is open-source and available under the [MIT License](LICENSE). You are free to use, modify, and share the content, but please provide proper attribution.
## Contact
If you have questions or need assistance, you can reach out to the course instructor:
- Instructor: [](mailto:ai.kntu.ac@gmail.com)
Happy learning!