Exploring Advanced Techniques in Linear and Logistic Regression
This comprehensive article delves into the intricate methodologies of Linear and Logistic Regression, essential pillars in the field of machine learning and data science.
Beginning with the fundamentals of Linear Regression, we explore the Normal Equation and its implementation in Python, employing libraries like NumPy and Matplotlib for data manipulation and visualization. The journey extends to understanding Gradient Descent in its various forms — Batch, Stochastic, and Mini-Batch — unraveling the nuances of each techn…