Foundations-of-Data-Science-with-Python

Foundations-of-Data-Science-with-Python

jmshea

Foundations of Data Science with Python, by John M. Shea, teaches how to begin working with data, create visualizations, conduct statistical tests using resampling, perform analyses and make optimal decisions based on probability theory, and manipulate multi-dimensional data using linear algebra.

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3 data points  ·  2022-02-20 → 2022-11-02
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What is the jmshea/Foundations-of-Data-Science-with-Python GitHub project? Description: "Foundations of Data Science with Python, by John M. Shea, teaches how to begin working with data, create visualizations, conduct statistical tests using resampling, perform analyses and make optimal decisions based on probability theory, and manipulate multi-dimensional data using linear algebra.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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