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Lesson 8 – Examples

All lectures will be delivered as readings that you complete on your own time. Post questions with the lesson here.

Make sure to read this article before moving on to Methodology Assignment 5.

There’s not much new content for this week. Instead, as you start to put together your Quarter 1 Project’s codebase, we wanted to remind you of this repository. The repo contains several examples of data science projects that follow best practices; each example is in a different branch.

One example you should look at is Titanic Prediction. In particular:

  • The script run.py shows how to implement various targets. In MA 5 and your final Quarter 1 Project submission, you’ll need to implement the test target, which this particular example does not.
  • The data is pulled from an API that requires an API key. You’ll note that the API key is not pushed to Git, and that’s because API keys generally are secrets that should not be shared with anyone else. For others to run the project from end-to-end, they’ll need to generate their own API key and store it in a particular location. (If this applies to your project, you’ll also implement a test target that will allow others to run your entire project without needing to create an API key.)