UBC MDS Web and Cloud Computing Course
The goal of this project is to build and deploy ensemble machine learning models in the cloud to predict daily rainfall in Australia. We are using a large dataset from figshare. Features are outputs of different climate models and the target is the actual rainfall observation.
There are four milestones for this project:
Download the data and perform simple EDA
Transfer the data into cloud and set up the infrastructure for machine learning model.
Build distributed infrastructure (Spark) in cloud and perform a Machine Learning model.
Deploy ML model using flask
- Chuck Ho
- Sakshi Jain
- Zeliha Ural Merpez
- Sasha Babicki