·
Comprehensive Literature Review: Require a more comprehensive survey of existing approaches.
·
Comparative Study: Expect more detailed benchmarking of at least 8 to 10 machine learning models.
·
Additional Experiments:
· Conduct
feature selection or dimensionality reduction as an extra step.
· Explore
ensemble methods or advanced techniques beyond the basics
2. Project Objectives
The main goal of this project is to provide
hands-on research experience in machine learning. Students will:
· Identify and define a research-worthy problem.
· Explore existing machine learning approaches.
· Develop, implement, and test their own solution.
· Critically evaluate their work in comparison with related methods.
3. Project Topic Selection
· Topics should be
relevant to machine learning in a domain that all group members agree on.
· Each group must submit a
1-page project proposal (12-point font, single spacing, 1-inch margins) that includes:
· Problem statement
· Dataset(s) selection
· Plan and methodology
