Read the goal and write the Python codes using Data link for the question below-

Goal: In the question below, you will implement Linear Regression, Ridge Regression and Lasso Regression. The goal of the question is to experience model selection and analyze the result with hyperparameter tunning. Data sets: The dataset that you use in this project is Boston Housing Data. The independent variables are CRIM, ZN, INDUS, CHAS, NOX, RM, AGE, DIS, RAD, TAX, TRATIO, B, LSTAT and dependent variable MEDV. The detail about data is given in the following links. Divide the data into 70%, 15% and 15% training, validation and test set. Link (Data Description): https://raw.githubusercontent.com/jbrownlee/Datasets/master/housing.names Data: https://raw.githubusercontent.com/jbrownlee/Datasets/master/housing.csv

please write Python Codes using Data link, for the question below: Question: Do comparative result analysis for Linear Regression, Ridge Regression and Lasso Regression.