Linear Algebra, Python, Sympy, Machine Learning, Data Science.
It is applicable when the coefficient matrix A is square and nonsingular. Cramer’s Rule is computationally expensive and impractical for large systems due to its reliance on determinants. from sympy import symbols, Matrix # Define the variables x1, x2, x3, x4, x5 = symbols('x1 x2 x3 x4 x5') #