For the Kaggle contest, competitors have utilized different means to achieve a reasonable level of accuracy.
We will borrow some of the most successful ML trainers for our model so that we do not have to reinvent the wheel anymore. Let us for instance get inspired by a simple end-to-end ML workflow.
To create a project, just click on the blue "plus" ➕ button .
If it is a brand new project ( i.e the first one you make ) and the workspace is blank , check how to do this in the previous article.