Show me the steps to solve, this is a machine learning class, please provide the answers at the very end, after showing how to solve it

In this exercise, 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 pyth on 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.

Marking Criteria

Code : $2$ marks

Output : $1$ mark

Interpretation of the results : $1$ mark