PLEASE USE PYTHON

Now implement the two functions below. The linear fit function returns the weight vector w found by the linear regression leaming algorithm. Please implement the version that uses the normal equations. You can find the definition of the normal equations (and their derivation) many places online or in the book. Here is an example (they use for what we call w). Another example is given in the PDF I included with this homework. Note that numpy can compute the pseudo-inverse directly with np. linalg.pinv(X) def linearfit (x,y): def linear-predict ( x,w): """Returns a vector of predictions g where g[i] is the prediction for the ith row of X