dakhbari's Stars
OmdenaAI/douala-chapter-automatic-land-use
syedmamir/Geological-Log-Data-Machine-Learning-with-Python
A geological log data from a well in Kansas, USA is analyzed using Machine Learning (M.L.) techniques in Python. The data is overviewed, cleaned and analyzed for important patterns and relationships with which we found relationships of logs with each other and correlation of types of formations with the logs. Using this, we can eliminate the use of logs which are correlated or have no relative importance to the type of formation when we have prior geological knowledge of the area. Also, predictions of formation type were made successfully once the data is trained with the M.L. algorithms.
IFuentesSR/GeoVectoLitho
This is the code used to apply NLP to borehole descriptions
spadarian/GeoVec
Word embeddings for application in geosciences: development, evaluation and examples of soil-related concepts
Loop3D/dh2loop
A package to extract information from drillholes to feed 3D modelling packages
amueller/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
madscheme/introducing-python
An introduction to Python