This repository contains my personal study notes and learning artifacts from the Machine Learning Specialization.
The Machine Learning Specialization is offered by Stanford University and DeepLearning.AI on Coursera. For more information about the course, visit:
Machine Learning Specialization on Coursera
This repository includes:
- Linear regression algorithms examples
- Classification algorithms examples
- Clustering algorithms examples
- TenserFlow code examples
- Scikit-Learn code examples
- Other useful ML tips and notes in the root directory
These are personal study materials and may contain errors or misunderstandings. Always refer to the official course materials for authoritative information.
For any questions or discussions about this repository, please open an issue or submit a pull request.
GitHub: https://github.com/maria-snarava/machine-learning-study