A group project as to fullfill requirement for web and cloud computing course

Build and deploy ensemble machine learning models in the cloud to predict daily rainfall in Australia on a large dataset (~6 GB), where features are outputs of different climate models, and the target is the actual rainfall observation.

The data dump contains modeled and observed daily rainfall data over NSW, Australia, spanning 1889 to 2014.

• 📊 Dataset

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

This project was developed by the following Master of Data Science program candidates at the University of the British Columbia:

• Anupriya Srivastava @Anupriya-Sri
• Mahmoodur Rahman @mahm00d27
• Vanessa Yuen @imtvwy
• Zheren Xu @ZherenXu

This project was created by Anupriya, Mahmoodur, Venessa and Zheren. It is licensed under the terms of the MIT License.