AlexIoannides/pymc-example-project
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
This project helps data scientists and machine learning engineers analyze complex data by providing a template for Bayesian data analysis. It takes raw data from real-world events, like online auctions, and produces interpretable probabilistic models. These models can then be used to understand factors influencing outcomes such as Return-on-Reserve.
105 stars. No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer looking for a structured, end-to-end workflow to apply Bayesian statistical modeling to your data, complete with helper functions and best practices.
Not ideal if you are looking for a plug-and-play solution without prior knowledge of Python, probabilistic programming, or Bayesian statistics.
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Last pushed
Feb 21, 2019
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