Dive into an advanced Python tutorial that guides you through coding a Linear Regression algorithm from scratch, mirroring the functionality of sci-kit-learn. Learn about Object-Oriented Programming in Python, vectorized operations, and efficient coding strategies for customizable implementations. Explore how to translate mathematical formulas into optimized Python code, bridging the gap between theory and practical implementation. Gain insights into the inner workings of popular machine learning libraries while honing advanced Python skills. Suitable for those familiar with basic Data Science tools and frameworks, as well as the theoretical concepts of Linear Regression.