Highlights
In this assignment, your team continues with the full implementation of the data analytics methodology proposed by your team in the previous Group Project Presentation. The implementation should address the project objective that your team aims for (refer to the Project and Data Brief document) and be in accordance with your Group Project Plan.
To pass, you must at least address the essential objective. However, to be considered for a higher grade (D or HD) your team must address both the essential and desirable objectives of the project (see the Project and Data Brief).
Tasks
What you do in this assessment is dictated by:
1. The objectives set out in the Project and Data Brief document
2. The scope of work outlined in your Group Project Plan
3. The methodology proposed in your Group Project Presentation
Any change or improvement to the methodology is permitted at this stage but must be explained and justified in this report.
Specifically, your instructor is looking for demonstrable evidence of mastery of data analytics and data visualization topics that are taught throughout this semester (except Week 12). Although there are plentiful machine learning models available in Python libraries, it is preferred that you use the models taught in this unit to produce well-articulated and in-depth analyses. Individual team members must demonstrate competencies in Python programming to obtain a passing grade in this assessment.
The main deliverable is a written report that needs to have the following basic structure:
GitHub Classroom
GitHub Classroom must be used to manage Python coding collaboration for this assignment. Individual coding contributions must be visible on the GitHub Classroom.
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