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Training Systems Using Python Statistical Modeling

You're reading from   Training Systems Using Python Statistical Modeling Explore popular techniques for modeling your data in Python

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781838823733
Length 290 pages
Edition 1st Edition
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Author (1):
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Curtis Miller Curtis Miller
Author Profile Icon Curtis Miller
Curtis Miller
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Summary

That's all for this chapter on classical statistical methods. We learned about computing descriptive statistics for data and we learned how to implement classical inference for proportions. We also learned how to implement inference for means. We then explored Bayesian analysis and examined how to apply it to analyze proportions and means. Finally, we learned how to find correlations using pandas and SciPy.

In the next chapter, we will learn about some basic machine learning theory.

You have been reading a chapter from
Training Systems Using Python Statistical Modeling
Published in: May 2019
Publisher: Packt
ISBN-13: 9781838823733
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