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Mr P: Multi-level regression and Post-stratification in Python: Statistical inference on Survey data is always a tricky exercise when we're unsure of how representative the sample data is of the general population. This is a particularly acute problem in SaaS businesses where most survey data is generated from a convenience sample.

In this talk we'll demonstrate the use of a re-weighting technique, called Mr P, to improve the quality of inferences drawn from a sample with a known bias. We'll demonstrate the technique using Bambi in Python

Author: Nathaniel Forde
[I’m a Dublin based data scientist specialising in probabilistic modelling for the study of risk and causal inference. I have experience in model development, deployment, multivariate testing and monitoring.
I’m interested in questions of inference and measurement in the face of natural variation and confounding.]

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Second Author will be declared Soon

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Venue: The CHQ Building, Custom House Quay, Dublin 1,
D01 Y6H7 Ireland

Big thanks to our sponsor for this edition: Dog Patch Labs

Events in Dublin, IE
Big Data
Open Source Python
Python
Computer Programming
Ireland

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