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Monday Replay: “DIY Data Science using COVID data sources“ (SF Python, June 10)

By Tim Bonnemann posted Tue July 21, 2020 02:43 AM

  
Last month’s SF Python meetup featured a talk by Nitin Borwankar (author of “Learn Data Science” and the founder of Numericc, a startup applying data science to software engineering) about “DIY data science using COVID data sources”:
The Covid pandemic has seen many different models based on different sources of data. This talk outlines how you can use publicly available data to analyse and visualize trends using different models using Jupyter Notebooks and Postgres with the Madlib extension that allows doing machine learning in the database.
Check it out:



For more, check out the other posts in our Monday Replay series.

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