MH4510 / Previous course
Project resources.
Project resources used for Statistical Learning and Data Mining.
Material from my teaching of MH4510. Current project instructions take precedence.
That can be downloaded here. It elaborates project requirements and deliverables.
Project Deliverables
- Project proposal (after recess week)
- 1-page poster or 4-page PPT for presentation (in the last teaching week)
- Final report (3 days after the last presentation)
Useful Links for Projects
- Advice for Applying Machine Learning (Credits: Andrew Ng): Very good advice on how to diagnose an algorithm and start a learning problem.
- Stanford Machine Learning Course (Credits: Andrew Ng and Course Instructors): One can find some sample student projects.
- UCI Machine Learning Repository (Credits: UC Irvine): Contains a number of data sets with clear descriptions and objectives.
- Kaggle (Credits: Kaggle.com): Contains a collection of datasets for data analysis and machine learning
- Some Suggestions for Term Papers and Projects (Credits: P.-N. Tan, M. Steinbach, and V. Kumar): Some research papers on different project topics.
Selection of the Best Project
Among the excellent projects completed in each year, our teaching team will select the best project based on the following criteria:
- Originality and Creativity (in terms of problem formulation and methodologies);
- Statistical Reasoning of the methodologies;
- Presentation and Interpretation of the results;
- Completeness.
Best Projects
- (2017) A Deep Learning Approach to Stock Price Forecasting [Slides] [Report] by Daniel Noel Alejandro, Rizzo Paolo, and Meunier Anja Karolin
- (2017) Predicting Movie Box Office Gross [Poster] [Report] by Ong Wee Kiat, Joanna Khek Cuina, and Koh Ngiap Seng
- (2018) Door Access using Facial Recognition [Slides] [Report] by Kang Hwee Young, Ti Tze Hong, and Ang Shi Xuan