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dsci525_group14's Introduction

DSCI 525 Group14

UBC MDS Web and Cloud Computing Course

Source

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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:

Milestone 1

Download the data and perform simple EDA

Milestone 1 Notebook

Milestone 2

Transfer the data into cloud and set up the infrastructure for machine learning model.

Milestone 2 Notebook

Milestone 3

Build distributed infrastructure (Spark) in cloud and perform a Machine Learning model.

Milestone 3 Notebooks

Milestone 4

Deploy ML model using flask

Milestone 4 Notebooks

Team Members

  • Chuck Ho
  • Sakshi Jain
  • Zeliha Ural Merpez
  • Sasha Babicki

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