GeostatsGuy/MachineLearningCourse
My graduate level machine learning course, including student machine learning projects.
This project offers a collection of well-documented machine learning workflows focused on subsurface resource modeling. It provides practical examples in Jupyter Notebooks, demonstrating how to apply machine learning concepts to real-world problems in the earth sciences. Geoscientists, reservoir engineers, and data scientists working in the oil and gas or mining industries would find these resources beneficial for learning and applying advanced analytical techniques.
167 stars.
Use this if you are a graduate student or professional geoscientist looking for educational content and practical, open-source machine learning workflows for subsurface data.
Not ideal if you are looking for a plug-and-play software tool or library for immediate deployment without interest in the underlying educational content.
Stars
167
Forks
50
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 02, 2025
Commits (30d)
0
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