As we move from simple linear equations like to models with multiple variables, things become more complex. To handle these higher-dimensional problems efficiently, we need matrix representation. Matrices allow us to perform calculations with multiple features simultaneously, making the process faster and more scalable. By using matrix form, we can solve linear regression problems involving large datasets with ease. In this blog, let’s transition from slope intercept form to matrix notation
Let’s try this example with read data points
