Fall 2017 - Teaching Materials (Syllabus)
- An example R notebook on presidential speeches (zipped folder)
- Interactive Word Cloud
- Discussion and Q&A
- Project 1 presentations
- Project 2 starts.
- Check Piazza for your project team and GitHub join link.
- After you join project 2, you can clone your team's GitHub repo to your local computer.
- You can find in the starter codes
- the project description,
- an example toy shiny app
- a short tutorial to get you started.
- Tutorial on project 2 - Introduction to shiny app (app)
- Shiny Tutorial (Chengliang Tang) (zipped folder) (online link) + example
- Spatial data visualization
- Discussion and Q&A
- Feebback on project 1
- Tutorial on giving presentations
- Brainstorm on project 2
- Project 2 presentations
- Project 3 starts.
- Check Piazza for your project team and GitHub join link.
- After you join project 3, you can clone your team's GitHub repo to your local computer.
- You can find in the starter codes
- the project description,
- an example project
- Intro to Project 3
- Example
main.Rmd(pdf)
- Recap on project 3 requirements and starter codes.
- Tutorial (Chengliang): Basic Image Analysis + SIFT (zipped folder) + MATLAB codes for SIFT
- Overview on predictive modeling
- Tutorial on gradient boosting machines (GBM) (Chengliang Tang)
- A shiny app on GBM [R codes]
- We will email you a checklist for project submission on 11/1.
- Project 3 Summary for Spring 2017 (Chengliang Tang)
- Project 3 presentations
- Introduction to Project 4
- Recap on project 4 requirements.
- Overview of collaborative filtering.
- Overview of the reference papers (Chengliang).
- Example testing report.
- Cluster Model (Chengliang Tang)
- Q&A on algorithms
- Team meetings
- Project 4 presentations
- Project 3 summary
- Project 5 Presentations