DS Capstone MVP Submission Checklist

Use this checklist to avoid forgetting any required elements from your Capstone MVP. This is based on the Campus Capstone Rubric.

How to Use This Checklist

Fork this checklist, and complete it prior to submitting your Capstone for review. You can mark items as complete by adding an 'x' between the brackets in your Markdown file (i.e. change [ ] to [x]). You do not need to share this with your instructor.

Business Understanding

  • Clearly explains the real-world problem your project attempts to solve in...
    • Readme
    • Notebook
    • Slides

Data Understanding

  • Describes the data source in...
    • Readme
    • Notebook
    • Slides
  • Notebook describes properties of all variables used in project

Data Preparation

  • Notebook or .py file(s) include code to prepare your raw data for analysis

Modeling

  • Notebook includes a baseline model
  • Notebook includes additional models built iteratively from the baseline model
  • Preferred model is described in...
    • Readme
    • Notebook
    • Slides

Evaluation

  • Model validation is included in...
    • Readme
    • Notebook
    • Slides

Readme Content

  • Readme includes...
    • Data science process steps
    • Future improvement ideas
    • Repository navigation
    • Reproduction instructions
    • Links to presentation and sources

Notebook Content

  • Notebook includes...
    • Data understanding
    • Data preparation
    • Modeling
    • Evaluation

Presentation Content

  • Presentation includes...
    • Introduction
    • Data science process steps
    • Future improvement ideas
    • Contact info

Presentation Style

  • Presentation...
    • Is uncluttered
    • Is light on text
    • Has no unnecessary jargon
    • Has visuals that clearly demonstrate key points

Sourcing

  • Properly cites...
    • Data
    • Images
    • Any other content created by others (e.g. text, code)