For now, the codes are written with a Given key matrix, in a future I will add the option to customize this without the need of changing in the scripts the number of loops, the matrix itself, etc. But for now I put the 3x3 matrix to test if the script works :)
- For the code please refer to
inverse_matrix.py - In this script the inverse of a matrix of order n is calculated.
- Given key matrix: X = [[2,0,1],[1,1,-4],[3,7,-3]]
- For the code please refer to
diagonalization.py - The documentation in the pdf is not updated yet
- In this script the inverse of a matrix of order 3 is calculated.
- Given key matrix: X = [[3,-2,-1],[2,-7,-7],[-2,10,10]]
- For the code please refer to
least-squares.py - The documentation in the pdf is not updated yet (I will complete this tomorrow 10/08/2022)
- The data we will use is from the file
student-mat.csv; We will compare the grades from first period to the final grades and see if there's a correlation - For linear regression I will upload an explanatory paper later and we will see if there is correlation by hypothesis testing, but for now in the algebra section it will serve as an explanation of least squares.