Insightforge | AI & Data Science on Instagram: "In three dimensions, linear regression can be visualized as fitting a plane to the data. When extended to higher dimensions, the model fits an n-dimensional hyperplane that best represents the relationship between the features and the target variable. Training this model relies on calculus and linear algebra, along with a way to measure how well the plane fits the data known as the loss function. Common choices include Mean Squared Error (MSE) and