Linear Algebra, Python, Sympy, Machine Learning, Data Science.
linear regression, it minimizes the sum of squared differences between observed and predicted values. The solution involves minimizing the residual sum of squares, typically using the normal equations or matrix factorization methods like QR decomposition. Least Squares is widely employed in data