Welcome to the Awesome Resources repo!

As a machine learning enthusiast, I understand how challenging it can be to find reliable and comprehensive resources related to ML, MLOps, Python, XAI, RL, and other learning resources. That's why I have compiled a comprehensive list of the best resources out there to make it easier for you to navigate the world of machine learning and beyond.

Whether you're a beginner looking to get started in the field or an experienced practitioner searching for advanced techniques and tools, you'll find something valuable in this repository.

🔍 Here's a sneak peek at what you'll find:

👉 A curated list of top ML and MLOps resources

👉 An extensive collection of Python libraries and frameworks

👉 The latest developments in explainable AI and reinforcement learning

👉 A wide range of learning resources, including books, tutorials, videos, and blogs

Awesome Resources is a living repository that I will continuously update with the latest and most valuable resources. I'm always on the lookout for new and exciting tools, techniques, and frameworks to add to the list.

Contributions from readers and data enthusiasts are highly welcomed to help expand this resource. In case you are interested in contributing to this Github repository, please do not hesitate to reach out to me via email at [email protected].