Q1 (Linear Regression): Write python codes in a Jupyter notebook that use the python library (sklearn.linear model) to train a linear regression model for the Boston housing dataset:

https://towardsdatascience.com/linear-regression-on-boston-housing-dataset-f409b7e4a155.

Split the dataset to a training set (70% samples) and a testing set (30% samples). Print the root mean squared errors (RMSE) on the training and testing sets in the Jupyter notebook.