Mercari, Japan’s biggest community-powered shopping app, hosted a price suggestion challenge on Kaggle to build an algorithm that automatically suggests the right product prices. The project uses the 1.4M+ data and builds a database system with 8 application modules in R markdown for Mercari.
- RODBC
- RMySQL
- dbConnect
- DBI
- gWidgets
- sqldf
- data.table
- devtools
- curl
- tictoc
- data.table
- devtools
- tictoc
This is the final project of Introduction to Database Systems class in 2018 Spring semester.
contributers:
- 03152138 會計系 張永霖
- 04121256 英文系 賴宇安
- 04131045 數學系 陳冠霖
- 04131021 數學系 莊家懿
- 04121155 英文系 林玠豪
- 05121127 英文系 李庭瑩
- 06123901 德文系 鄭亞南
MIT © Yung-Lin Chang