In this problem, we will implement a regularized least squares classifier for the MNIST data set. The task

is to classify handwritten images of numbers between $$0$$ to $$9$$$.\backslash \backslash$

You are $\backslash$textbf$\{$NOT$\}$ allowed to use any of the pre$-$built classifiers in $\backslash$verb$|$sklearn$|.$ Feel free to use any method from $\backslash$verb$|$numpy$|$ or $\backslash$verb$|$scipy$|.\{\backslash$bf Remember:$\}$ if you are inverting a matrix in your code, you are probably doing something wrong $($Hint: look at $\backslash$verb$|$scipy$.$linalg.solve$|).\backslash \backslash$

$\backslash$begin$\{$figure$\}[$h$!]$