There is an increasing recognition that data science needs to go beyond small-scale experimentation to a large-scale implementation. In this repo, Rishabh Shrivas brings software engineering and data mining methodologies to data scientists, then applies these ideas by taking a simple business need through an entire life cycle—hosting a model, consuming it in a web application, and setting up its CI/CD pipeline. Rishabh begins by explaining the methodologies used in the course and how they are combined. He shows you where to begin in developing architecture and deploying a model, then explains how larger web applications may consume the model as a service. Rishabh covers how to stage your model and the app, as well as how to plan ahead with an overall roadmap. He concludes with thoughts on how to further applications of data science methodologies.
When switching from one exercise files branch to the next after making changes to the files, you may get a message like this:
error: Your local changes to the following files would be overwritten by checkout: [files]
Please commit your changes or stash them before you switch branches.
Aborting
To resolve this issue:
Add changes to git using this command: git add .
Commit changes using this command: git commit -m "some message"
Rishabh Shrivas