Show me the steps to solve In this exercise, note this is a machine learning class.

we will use California housing dataset that contains $20640$ rows

and $9$ columns. The objective is to predict MedHouseVal based on MedInc,

HouseAge, AveRooms, AveBedrms, Population, AveOccup,

Latitude, and Longitude.

Complete the following python code to apply

Linear Regression,

Ridge Regression,

Lasso Regression, and

Elastic Net,

to the California Housing dataset and compare their performances using MSE.

Note: Each student should choose adequate values of alpha and ratio.