Welcome to the Machine Learning Knowledge Repository! This repository is a comprehensive collection of notes, tutorials, and resources focused on the essential concepts and techniques in machine learning and deep learning.
This repository aims to cover a wide range of topics, including:
- Mathematical foundations necessary for understanding machine learning.
- Data preprocessing and feature engineering.
- Traditional and modern machine learning algorithms.
- Deep learning architectures and techniques.
- Model evaluation and selection strategies.
- Latest trends and research in the field.
This repository is a work in progress and will be updated regularly. Contributions are welcome! If you have suggestions or improvements, feel free to open an issue or submit a pull request.
Thank you for visiting this repository. We hope you find the resources helpful in your machine learning journey!