Michael Pyrcz

DataScienceInteractivePython. Python interactive dashboards for learning data science

PythonNumericalDemos. Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

GeostatsPy. GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz

Resources. Inventory of all the educational content that I share on spatial data analytics, geostatistics and machine learning. I hope these resources are helpful, Prof. Michael Pyrcz

MachineLearningDemos. well-documented demonstration Python Jupyter workflows for many common machine learning workflows

MachineLearningCourse. My graduate level machine learning course, including student machine learning projects.

GeostatsPy_Intro_Course. Introduction to spatial data analytics and machine learning with GeostatsPy Python package

ExcelNumericalDemos. A set of numerical demonstrations in Excel to assist with teaching / learning concepts in probability, statistics, spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz

GeoDataSets. Synthetic datasets for geoscience (geo)statistical modeling

2DayCourse. My 2-day short course on spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz

GeostatsPyDemos. Well-documented demonstration workflows with the GeostatsPy package.

GeostatsGuy. Information about me.

MachineLearningDemos_Book. Applied Machine Learning in Python: a hands-on Guide with Code - free, online e-book by Professor Michael J. Pyrcz at The University of Texas at Austin.

PGE383_SubsurfaceModeling. Graduate course on subsurface modeling

Machine_Learning. 1 Day Machine Learning Course

geostatsr. Geostatistical utilities and tutorial in R. For the tutorials I have included Rmarkdown html files.

GeostatsPyDemos_Book. Applied Geostatistics in Python: a hands-on Guide with GeostatsPy - free, online e-book by Professor Michael J. Pyrcz at The University of Texas at Austin.

LectureExercises. The exercises from my Introduction to Geostatistics available on YouTube on the GeostatsGuy Lectures Channel.

5DayGeostats_DataAnalytics. 5-day course on Geostatistics, Data Analytics and Machine Learning

MLTrainingImages. Machine learning training images.

MultivariateModeling. Short course on multivariate modeling

GeostatsMachineLearning_Course.

GeostatsLectures. (Geo)statistical course materials released for anyone to use (.pdf format). Enjoy! I'm happy to discuss.

2DayCourse_Exercises. Jupyter Notebook

Geostats_ML_2Day. Two day course on geostats and machine learning

DataAnalytics_Geostatistics. 2 Day short course on spatial stat analytics, geostatistics and machine learning.

SubsurfaceMachineLearning. Short course on subsurface data analytics and machine learning.

GeostatsPy_Course_2. Course on the GeostatsPy Python geostatistics package covering uncertainty modeling with declustering and simulation.

awesome-open-geoscience. Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

52things. 52 Things You Should Know About Geocomputing

RandomTools. Random tools to support decision making in like

Undergraduate_Research. Undergraduate research projects.

GSLIB_MacOS. Executables for GSLIB on Mac OS

EnergyAI_2021_Hackathon. Jupyter Notebook

Heterogeneity_Course.

GSLIB_Windows. Static builds of GSLIB for Windows to solve issues with missing DLL files.

DIRECT. Digital Reservoir Characterization Technology Consortium, UT Austin

interactive_geostatr. A collection of interactive geostatistical tutorials in Jupyter Notebooks / Binder.

PGE379_SubsurfaceMachineLearning. Course in subsurface machine learning.

GithubMergeExercise.

GSLIBTools. FORTRAN tools to assist with building geostatistical workflows.

RepeatableResearch. Workflows for my published papers for repeatability.