17 Feb 2023

Machine Learning Approaches in Climate Science


Workshop Description

This workshop will focus on machine learning for timeseries data with the most popular data science packages: Jupyter, Scikit-Learn, and Pytorch. It will also demonstrate the use of open-source GPT large language models for natural language processing.


Familiarity with python is recommended

Learning Outcomes

By the end of this workshop attendees will be able to:

  • Apply machine learning methods to time-series and geospatial data.
  • Understand important considerations when modeling climate data.
  • Familiarity with machine learning software tools: scikit learn, matplotlib, and keras.

Tools used for this workshop

  • Google Colab
  • jupyter notebooks
  • scikit learn
  • matplotlib
  • keras

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