Project cycle 1: American community surveys (starter codes)
- Introduction to ADS and Project 1 description
- Example project 1 (Jingying Zhou)
- Sign-in for Project 1 groups on Classroom GitHub
- Tutorial 1: R Notebook(html output), download data for project 1 into your own data folder and run in Rstudio with downloaded data. You can view html output, enabled by rawgit.
- More resources are listed in the project description.
- Introduction to GitHub (Jingying Zhou)
- Discussion of Spring 2016 ACS project (Chengliang Tang)
Project cycle 2: shiny app development for New York City open data (starter codes)
- Project 1 submitted.
- Example project 2 summary of project 2, Spring 2016
- Intro to project 2
- Project 2 description
- More resources are listed in the project description.
- Teams and github joining links will be posted on Thursday 9/22.
- Tutorial on shiny apps (Yuhan Sun)
- Tutorial on setting up your own shiny server (Yuhan Sun)
- Showcase: 311 complaints
- Amazon Machine Image for Rstudio server, with shiny server
- Discussion of Spring 2016 shiny apps (Chengliang Tang)
- Tutorial on presentation
Project cycle 3: predictive modeling for images of poodles vs. fried chicken (starter codes)
- Overview of project 3
- Overview of classification
- Tutorial on image processing (Ruixiong Shi): [PPT], [Rmd], [About SIFT].
- Tutorial on gradient boosting machines (GBM) (Chengliang Tang)
- A shiny app on GBM [R codes]
- Model evaluation and validation
- Submission and Evaluation
- Project 3 Summary for 2016 Spring
- Project 3 fun images
- Discussion on Project 4 description
- Project 4 evaluation
- Example on Topic Modeling for project 4
- Project 4 Presentations
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent