The Machine Learning Advent Calendar Day 11: Linear Regression in Excel

A recent exploration of Linear Regression demonstrates its fundamental role in modern machine learning by illustrating core concepts such as loss functions, optimization techniques, gradients, and model interpretation through practical implementation in Excel. The analysis compares the closed-form solution with Gradient Descent, highlighting how coefficients evolve iteratively, thereby providing a clear understanding of the underlying mechanics. This foundational approach not only clarifies Linear Regressions simplicity but also serves as a stepping stone to more advanced topics like regularization, kernel methods, classification, and the dual formulation. By reconstructing the model step-by-step, the study emphasizes its importance as a starting point