Module: Machine Learning Approaches in Climate Science

A climate-themed tutorial on machine learning methods.

Prerequisite Modules

Python and Jupyter

Python and Jupyter

This module provides recommended readings and introductory tutorials on Python and Jupyter.

Learning Outcomes

You understand basic machine learning concepts



A few things to check prior to this workshop

Experiential Learning

1. Ice Breaker

ML for Climate data Ice Breaker

2. Scikit-Learn

A basic Scikit-learn tutorial using Gaussian Processes to model CO2 levels on Mauna Loa

3. Pytorch

Pytorch tutorial for prediction of El NiƱo Southern Oscillation (ENSO) phase using sea surface temperature maps


Help us assess this workshop

Provide feedback to the workshop organizers

Outcome(s) assessed: You understand basic machine learning concepts