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.
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.
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.
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.
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.
In the resources directory, you'll find supplementary materials such as lecture slides, reference guides, and recommended reading lists.
To get started with the course, follow these steps:
- Clone or fork this repository to your local machine.
- Review the course materials in the respective directories.
- Complete the assignments and projects as instructed.
- Engage in discussions and ask questions in the course's Issues section.
- Stay updated with course announcements and updates by watching this repository.
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 for more details.
Please review and adhere to our Code of Conduct to create a respectful and inclusive learning environment for everyone.
This course repository is open-source and available under the MIT License. You are free to use, modify, and share the content, but please provide proper attribution.
If you have questions or need assistance, you can reach out to the course instructor:
- Instructor:
Happy learning!