The second part of this notebook lets you think critically about the geometry of linear regression, noting that the training error is not the full picture. It goes through a validation perspective to find out about significance of features, and the LASSO approach towards obtaining relevant, generalizable features.
This section has one open ended query. Work with me to go through this.