This repository serves as a comprehensive, curated collection of resources for individuals embarking on or deepening their journey in machine learning and deep learning. It targets beginners and study groups, offering a structured path through lectures, tutorials, blogs, and essential mathematical concepts.

How It Works

The repository organizes learning materials by subject area, starting with foundational Python and data analysis, progressing through mathematics and statistics, and then covering core machine learning algorithms and advanced deep learning topics. It links to a vast array of external resources, including YouTube lectures, blog posts, GitHub repositories, and official documentation, providing a multi-faceted approach to understanding complex concepts.

Quick Start & Requirements

This repository is a collection of links and does not require installation. Users will need internet access to view the linked resources.

Highlighted Details

• Extensive curation of over 100 YouTube channels, blogs, and GitHub repositories.
• Detailed breakdown of mathematical prerequisites, including linear algebra, calculus, and statistics.
• Covers a wide spectrum of ML/DL topics from basic regression to advanced LLMs and Reinforcement Learning.
• Includes practical resources for Kaggle competitions and data science career advice.

Maintenance & Community

The repository is actively maintained by "teddylee777" and welcomes contributions via Pull Requests. It lists numerous contributors and encourages community engagement. Links to relevant communities like TensorFlow Korea and PyTorch KR are provided.

Licensing & Compatibility

The repository itself is a collection of links to external resources, each with its own licensing. The primary content is educational and generally permissible for personal study.

Limitations & Caveats

As a curated list, the quality and up-to-dateness of linked external resources can vary. Some advanced topics or specific tutorials may assume prior knowledge not explicitly covered within the repository's structure.