PROJECTS ARE DUE BEFORE THE LAST CLASS
This repository is your repository for containing all assets for your final project. It should include all supporting documentation, code, reports and (possibly) the data to run your project. You should have figured out what your need to produce.
You should replace this README.md file with a proper README.md of your fork of
the project. Your should name your fork
csx415-project so that it can be easily be found.
Much of the deliverables were completed during the course. If they were, you can simply move them from the assignments folder here. Make sure that you respond to the feedback that was provided.
A completed project should have a full history (thanks git!) and should be fully-encapsulated (i.e. it has everythjnig needed by the project). There are three types of projects assets:
- documentation and reports
- data
- code
It is necessary to manage all these components in a standard-ish way so that
the project can be managed by any competent data scientist. This means
preparing and documenting your project in predicatable and repeatable ways. The
GRADE.md provides what should be included in the project as well as how the
project should be evaluated.
Projects are due before the last section.
Much of the deliverables were completed during the course. If they were, you can simply move them into your final project directory any deficiencies that arose along the way. The master branch of your fork should contain the most current tested-and-working version of your code.
The goal here is to that a sufficiently trained data scientist can checkout your project and with a minimal amount of effort contribute to the project. It is a good idea to have someone else evaluate your code and provide a grade for your code.