Space Science with Python - AI 1-3: Data Enrichment

In our last data engineering step we will take a look at the Bus classification schema and how it is related to the so called "Main Groups". Some Sankey Diagrams will help us to understand the scientific background more clearly.

After this video and corresponding Jupyter Notebook we are good to go to dive into the data itself and to create ML models to answer miscellaneous questions.

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Content
0:00 Introduction
0:50 Recap (gdrive, data levels)
2:16 Asteroid Classes
7:30 Python - Main Groups
13:05 Python - Quick Matplotlib Visualisation
15:40 Python - Storing final level 2 data
18:03 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:

Or drop a comment!

Talk to you later,
Thomas

[SpeedbirdDK]

Super cool series. I am an actuary working in finance, with a big passion for astronomy. Know very little about machine learning in practise and hope to learn a lot here! Keep posting!

[SpeedbirdDK]

Can you maybe elaborate on the mathematical machine learning theory you plan to use in the coming parts? Do you have any articles/books to recommend?

[fredifqh]

Dear Thomas, the colab link in the notebook is not working.