Machine Learning Approaches in Climate Science
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
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