ey there! I was wondering if you could help me create a machine learning program using Python. The goal is to predict the outcome of a Minesweeper game. The user should be able to input the number of mines they want to play with, as well as the number of safe spots they want to predict. We have data for 30 games, but the amount of data changes depending on the number of mines. Specifically, the amount of data we have is the number of mines multiplied by 30. For example, if the user selects 3 mines, we have data for 30 games with 3 mines, which gives us 90 data points. The data we have consists of numbers representing safe spots in those games. Let me know if you're up for the challenge! Data for 30 games with 3 mines: [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]