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This mini-project applies Bayesian statistics to baseball data, using prior information and observed statistics to create posterior probabilities.

Jupyter Notebook 100.00%
bayesian-model mini-project pandas python seaborn

bayesian_modeling's Introduction

Hi, I'm Sean!

  • ⚡ A little about me:
    • Toronto is home.
    • The furthest city from Toronto in the world? That’s where my wife was born.
    • I'm a Liverpool FC supporter.
    • I love Formula 1.
    • I'm a runner.
    • I think gloomy weather is the best weather.
    • I find great joy in the seemingly illogical and nonsensical.
    • My two-year-old likes to test my devotion to her on a daily basis by placing herself in increasingly dangerous situations.

Some of the languages and tools I use:

Python MySQL PostgreSQL Oracle Jupyter Notebook Visual Studio Code Git GitHub TensorFlow

You can find me here:

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