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## How to join the webinar:

NOTE: You can join via your browser (no app download required). Use Chrome or Firefox.
Pre-register for the webinar:
https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar

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Video Recording
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This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YouTube and set your notifications:
https://www.youtube.com/c/DataUmbrella/

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Time
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4pm PT / 7pm ET / 00:00 UTC/ 3am EAT / 5:30 am IST

## Speaker

Mitzi Morris

## Talk Level

Intermediate

## Pre-reqs

Statistical modeling knowledge. e.g. Regression, time-series data analysis

## Prep Work

None

## Resources

https://github.com/generable/workshop-materials/raw/master/presentations/Bayesian_Multilevel_Modeling_brms_Stan.pdf

## Event

In this webinar Mitzi Morris shows how you can quickly build robust models for data analysis and prediction using BRMS. After a brief overview of the the advantages and limitations of BRMS and a quick review of multi-level regression. We will work through an R-markdown notebook together, to see how to fit, visualize, and test the goodness of the model and resulting estimates.

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Related topics

Machine Learning
Data Science
Python
Bayesian Statistics

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