This repository is used for DSCI 525 - Web and Cloud Computing course project by the students listed in the Contributors section.
This project demonstrate building and deploying ensemble machine learning models in the cloud to predict daily rainfall in Australia on a large dataset (~12 GB), where features are outputs of different climate models and the target is the actual rainfall observation.
python
pandas
dask
requests
zipfile
json
pyarrow
rpy2
dplyr
tidyr
R
The list of team members and their GitHub usernames:
| Full name | GitHub username |
|---|---|
| Fatime Selimi | @fatse |
| Jingjing Zhi | @Jingjing9756 |
| Syad Khan | @syadk |
The data set used in this project lives in figshareAPI and was created by Dr.Tomas Beuzen.
- The NSW rainfall dataset is licensed under the Attribution 4.0 International (CC BY 4.0).
- The material used in this repository is licensed under the MIT License.