Kadomin

Learning Resource

Building the Future with Machine Learning

Start your journey with hands-on coding, practical projects, and easy-to-follow tutorials that simplify complex ML concepts. This free resource offers step-by-step explanations to help you learn machine learning at your own pace, with clear tutorials and real-world coding examples.

Welcome Traveler

KadoMin is your go-to destination for everything machine learning. Whether you’re curious about how machine learning works or eager to build your own models, you’re in the right place.

At KadoMin, we break down complex topics—from core definitions to implementing deep learning networks—into clear, easy-to-digest lessons. We also cover the essential math foundations to help you truly understand what’s happening under the hood.

So what are you waiting for? Jump in and start learning today!

FAQ

Yes, it’s completely free. No paywalls, no ads—just a cozy corner of the internet where you can dive into machine learning at your own pace.

This course is for anyone curious about machine learning—whether you’re a complete beginner, a student, or a developer looking to build a solid foundation by implementing algorithms from scratch. You don’t need to be a math whiz or a coding expert—just bring your curiosity.

Unlike many other tutorials, this course guides you through building key algorithms from scratch, helping you truly understand how they work under the hood. We also take a gentle approach to the math—introducing concepts gradually, without throwing heavy equations at you right away.

Yes! Each tutorial has a comment section where you can ask questions. This way, others can benefit from your question—or even jump in to help if they’ve faced something similar. You don’t need an account to comment. If you prefer to reach out privately, feel free to use the contact page. Either way, I’ll do my best to respond as soon as possible.

Currently, there’s no official certificate—this is an open, self-paced learning resource designed for curious and self-driven learners. That said, by the end, you’ll have a solid portfolio of code and a deep understanding of how machine learning really works.

Python. It’s always Python.
But seriously — Python has become the standard in machine learning for a reason. It’s simple, readable, and has an incredible ecosystem of libraries that make building and experimenting easier for everyone, from beginners to experts.

About 11 meters per second. At least the European ones.

About the Author

Hello! My name is Jasmin Frkatovic a.k.a Kado. Ever since my childhood, I’ve been captivated by computers, especially programming. 

At the moment, I am specializing in Machine Learning. My goal is to truly understand the depths of this fascinating field. I believe that the best way to grasp a subject is to teach it to others, which is why I created this free resource. By sharing knowledge, I can not only help others but also solidify my own understanding.

Another core principle I live by is the idea of deconstructing complex topics and rebuilding them from scratch. This hands-on approach is, in my experience, one of the most effective ways to learn and gain true mastery.

Wherever you may come from, I hope you’ll join me on this journey. Together, I believe we can build something incredible in the future. Together we will Learn-Build-Refine.