GitHub Link of today's session: https://github.com/ThomasAlbin/Astron...
-- Space Science with Python - AI 1-7: Multiclass SVM --
Today, we conclude our Support Vector Machine (SVM) journey by creating a multi class SVM that distinguishes between the C, S, X and "Other" classes. We will see that a naive SVM approach on the scaled spectra leads to sufficient results.
We still did not conclude this project though. Keras is still waiting to be applied!
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How to setup a local dev environment: • Space Science with Python - Part 2: Setup ...
Scikit-Learn (Support Vector Machine Classes): https://scikit-learn.org/stable/modul...
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Content
0:00 Introduction
1:25 Theory of Multiclass SVMs
6:49 Python - Let's go
7:50 Python - Class Weights
11:00 Python - SVM Training & Setting a correct scorer!
16:39 Python - Metrics
23:30 Summary & Outlook
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There is a lot to do and to learn and I hope you will join the journey. Meanwhile, if you have questions or ideas, reach out to me via:
Twitter: / mrastrothomas
Reddit: / mrastrothomas
GitHub: https://github.com/ThomasAlbin
Or drop a comment!
Talk to you later,
Thomas