MSc Data Science / Module
Credit Classification
[Placeholder summary] To be supplied.
Context
Background and Motivation
[Placeholder] Why this project exists and what prompted it.
Context
Problem Statement
[Placeholder] The question being answered or the task being solved.
Implementation
Data
[Placeholder] Where the data came from, its size and shape, and how it was prepared.
Theory
Methodology
[Placeholder] The approach taken and why it was chosen over alternatives.
Theory
Theoretical Foundations
[Placeholder] The theory the method rests on.
Implementation
Technical Implementation
[Placeholder] How it was built: tools, structure and notable engineering decisions.
Results
Results
[Placeholder] Empirical results. Real figures only.
Results
Visualisations
[Placeholder] Charts and figures, each with a description.
Results
Discussion and Limitations
[Placeholder] What the results do and do not show.
Context
Lessons Learned
[Placeholder] What you would keep and what you would do differently.
Context
Video Explanation
Interactive
Interactive Application
[Placeholder] No application is linked yet. When one exists, its link appears here.
Implementation
Source Code
[Placeholder] The repository link has not been added yet.
Context