This repository provides a comprehensive guide for learning machine learning from fundamentals to advanced topics. It covers Python programming, data analysis with NumPy and Pandas, data visualization, statistics, deep learning with PyTorch and TensorFlow, computer vision with OpenCV and YOLO, natural language processing, and MLOps practices. The roadmap is designed as a structured learning path for aspiring ML engineers.