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Stats_Prob_ML_Fundamentals/Binomial_Regression/README.md

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### Intro
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#### This is a worked example from the tutorial series by (citation) to demonstrate and explore the application of Binomial Regression
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### Included are notes on the underlying theory
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#### Included are notes on the underlying theory
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### Environment and Dependencies
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#### The project was run in a virtual environment (Anaconda) to manage the following libraries and dependencies:
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#### Python version 3.12, Numpy, Scikit-Learn
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#### The data set used and generated are included in the repo.
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