This repository hosts code, exercises, and tutorials from a personal blog focused on machine learning and deep learning. It includes notebooks covering frameworks such as PyTorch, TensorFlow, and Keras, along with topics like statistics, explainable AI, and data visualization. The content is structured as educational material with cheat sheets and step-by-step guides for learning ML concepts.