cemac/LIFD_ENV_ML_NOTEBOOKS
Jupyter notebook tutorials on various machine learning topics
This collection of Jupyter notebooks helps Earth scientists and environmental modelers learn and apply various machine learning techniques to their data. It provides practical, guided tutorials, starting with basic concepts and progressing to more complex models like neural networks. Users can input their environmental datasets and learn to use machine learning to discover patterns, make predictions, or reduce data complexity.
Use this if you are an Earth scientist or environmental researcher with little to no prior machine learning experience, and you want to learn how to apply these techniques to your environmental data.
Not ideal if you are an experienced machine learning practitioner looking for advanced, cutting-edge research implementations or highly optimized production-ready code.
Stars
25
Forks
3
Language
Python
License
CC-BY-4.0
Category
Last pushed
Jan 05, 2026
Commits (30d)
0
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