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Always Happily Coding, Researching or Teaching
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Always Happily Coding, Researching or Teaching
3.9k followers · 12 following

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Achievement: Starstruckx3Achievement: Arctic Code Vault ContributorAchievement: Pull Shark

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GeostatsGuy/README.md

I'm Michael Pyrcz (a.k.a. GeostatsGuy), a professor working in Data Analytics, Geostatistics and Machine Learning at The University of Texas at Austin, Austin, Texas, USA and a Ukrainian Canadian. I share all of my university content to support my students, potential students and working professionals interested to learn about data science. I have a lot of well-documented workflows in Python, R (and even Excel) in my repositories, including all of the hands-on exercises and demonstrations for all of my lectures shared freely on my YouTube channel. Follow me on Twitter, where I share resources and positivity daily.

website twitter youtube linkedin linkedin

Popular repositories Loading

  1. DataScienceInteractivePython DataScienceInteractivePython Public

    Python interactive dashboards for learning data science

    Jupyter Notebook 2.1k 381

  2. PythonNumericalDemos PythonNumericalDemos Public

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

    Jupyter Notebook 1.5k 510

  3. GeostatsPy GeostatsPy Public

    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, Geostatist…

    Jupyter Notebook 546 186

  4. Resources Resources Public

    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

    388 50

  5. GeostatsPy_Intro_Course GeostatsPy_Intro_Course Public

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

    Jupyter Notebook 158 95

  6. MachineLearningCourse MachineLearningCourse Public

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

    Jupyter Notebook 113 39