This repository serves as a curated collection of resources for individuals interested in data science, machine learning, and generative AI. It aims to provide a comprehensive learning path for beginners and a reference for experienced practitioners, covering foundational concepts to advanced topics.

How It Works

The repository is structured thematically, covering areas such as Python & SQL, Data Science, Machine Learning, Natural Language Processing, Deep Learning, Computer Vision, MLOps & Cloud, and Generative AI. Each section links to a variety of learning materials including official documentation, tutorials, blog posts, video courses, and datasets.

Quick Start & Requirements

This is a curated list of resources, not a software package. No installation or specific requirements are needed beyond internet access to view the linked materials.

Highlighted Details

• Extensive coverage of Generative AI, including LLMs, RAG, Agents, and fine-tuning techniques.
• Links to numerous courses from platforms like Coursera, DeepLearning.AI, and Hugging Face.
• Curated lists of datasets from UCI ML Repository, Kaggle, and Awesome Public Datasets.
• Resources for both foundational data science skills (Python, SQL, Statistics) and specialized areas like Computer Vision and MLOps.
• Includes links to community resources like Discord servers, subreddits, and newsletters for staying updated.

Maintenance & Community

The repository is community-driven, with contributions encouraged via a contribution guide. It highlights various individuals and their recommended resources, fostering a collaborative learning environment.

Licensing & Compatibility

The repository itself is a collection of links and does not have a specific license. The licensing of the linked external resources varies.

Limitations & Caveats

As a curated list, the quality and maintenance of external links are subject to change. Some resources may be behind paywalls or require specific platform accounts. The breadth of topics means some areas might be less detailed than others.