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This repository contains the laboratory portion of an upper level undergraduate class in Python on data visualization and statistics for geo & space scientists. Labs are updated when the course is in session through the most recent branch. See master version for current class.

License: MIT License

Jupyter Notebook 99.62% Python 0.27% HTML 0.11%
python data-visualization data-analysis data-science geoscience space-science space-physics climate-science

data_vis_statistics_geosciences's Introduction

Hello ๐Ÿ‘‹

I'm a planetary space physicist pursuing machine learning methods for uncertainty quantification and scientific insight; I'm currently a Data Science Fellow and Postdoctoral Researcher at the University of British Columbia.

  • ๐Ÿ“ก currently working on applications of Gaussian processes for planetary magnetism and space physics.
  • ๐ŸŒŽ am excited about the use of machine learning for understanding our planet and others.
  • ๐Ÿ”ญ enjoy interating in the DeepSkies community.
  • ๐ŸŒ” founded the Machine Learning for Planetary and Space Physics journal club, join at ml4psp.github.io.
  • ๐Ÿ”— see abbyazari.github.io for my research.

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