dgerosa/astrostatistics_bicocca_2022
Astrostatistics class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
This project provides practical lessons for understanding and applying statistical techniques to astronomical data. It takes raw observational data or survey results and teaches how to extract meaningful insights, identify patterns, and make informed conclusions. This resource is designed for astrophysics and physics students who need to analyze complex datasets in their research.
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Use this if you are a student in astrophysics or physics who wants to learn how to apply modern statistical methods, data mining, and machine learning techniques to real-world astronomical data.
Not ideal if you are looking for a theoretical-only overview without hands-on coding exercises, or if your primary interest is in a domain outside of physics and astronomy.
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Language
Jupyter Notebook
License
GPL-3.0
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Last pushed
Sep 01, 2022
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