In python, make a machine learning moudel to predict a 5x5 minesweeper game. You can’t make it random or make it predict 2 same results in a row if a new game is started. You have data for the past 30 games [5, 12, 13, 4, 17, 19, 4, 18, 21, 1, 6, 11, 7, 15, 22, 14, 18, 19, 1, 19, 20, 9, 16, 17, 1, 19, 20, 6, 14, 24, 15, 20, 22, 7, 18, 21, 4, 16, 23, 5, 11, 19, 5, 6, 23, 6, 12, 13, 0, 5, 15, 1, 5, 22, 0, 2, 23, 5, 10, 13, 5, 12, 17, 1, 7, 22, 7, 11, 18, 7, 8, 9, 17, 21, 24, 13, 14, 16, 2, 3, 11, 7, 17, 18, 7, 14, 21, 2, 5, 9] and you need to predict 5 safe spots. You need to use the list raw and it needs to get the same data if the mine locations are not changed. It also needs to use an algorithm that you chose thats good. The mines in the games you are gonna predict is gonna be 3 