Mild or wild: robustness through morphological filtering

This guest post (first published here) is by Elwyn Galloway, author of Scibbatical on WordPress. It is the forth in our series of collaborative articles about sketch2model, a project from the 2015 Calgary Geoscience Hackathon organized […]

Read Article →

Machine Learning in Geoscience with Scikit-learn. Part 2: inferential statistics and domain knowledge to select features for oil prediction

In the first post of this series I showed how to use Pandas, Seaborn, and Matplotlib to: load a dataset test, clean up, and summarize the data start looking for relationships between variables […]

Read Article →