For the next two days we will deal with the entire end to end pipeline of data science through a case study. We have touched on aspects of this throughout the course but have not yet put all the pieces together.

We will also touch on some new topics including:

• cloud services including AWS
• web applications (and the technology of the web)
• deploying a DS application
• a touch of data visualization/presentation

• Software best practices (proper encapsulation and functions)
• product focus
• deploy models
• project scoping -- independence

• Wednesday: Project scoping, Model building, and an intro to Web apps
• Thursday: Web app and deployment

• model (properly commented and encapsulated on Github with a README)
• exposed API
• Data visualization (extra)

• You will be assessed both on quality and cleanliness of code
• as well as a well functioning solution

• building your model: notes on how to get started with the dataset and how to save your model once you've trained it.