Exercise

Minimizing a loss function

In this exercise you'll implement linear regression "from scratch" using scipy.optimize.minimize.

We'll train a model on the Boston housing price data set, which is already loaded into the variables X and y. For simplicity, we won't include an intercept in our regression model.

Instructions

100 XP

Fill in the loss function for least squares linear regression.
Print out the coefficients from fitting sklearn's LinearRegression.

Take Hint (-30 XP)