A collection of notebooks covering core Machine Learning concepts. Each notebook focuses on a specific idea and explores its assumptions, intuition, and working in a clear and structured way, supported by simple visualizations to make the behavior easier to see and understand
Learning from first principles with focus on underlying mathematics
With this kind of understanding, Machine Learning becomes more than just a tool - it becomes a way to solve real-world problems thoughtfully, create meaningful solutions, and build things that truly matter