Right click to download this notebook from GitHub.

The EarthML tutorial takes you through the various stages involved in using Python open-source tools to work with machine-learning and related data analysis tools for climate and other Earth science topics:

  1. Data Ingestion: Loading large data sets efficiently with intake.
  2. Introduction to Visualization: How to visualize data loaded into memory.
  3. Alignment and Preprocessing: How to prepare your data for the machine learning pipeline.
  4. Machine Learning: Specifying a scikit-learn pipeline to ingest the prepared training data.
  5. Data Visualization: How to visualize your data throughout the workflow, starting from data ingestion to the final machine learning product.