From Theory to Practice: A Journey into Linear Regression
In linear regression, Ordinary Least Squares (OLS) is a powerful method for finding the best-fit line for a dataset. Its primary appeal is that it offers a closed-form solution, meaning you can calculate the ideal model parameters in a single step using matrix operations, rather than through an iterative process. To the notebook in Github The OLS Approach … Read more