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Notes and interactive visualizations for some topics in probability and statistics

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Notes and interactive visualizations for some topics in probability and statistics

Introduction

Hi! As someone who's taught a lot of math classes, I've found that the best way to understand something is often to explain it to someone else. These notes are my attempt to do that for a few things I'm trying to learn related to probability, statistics, and machine learning. Everything here should be thought of as "always in progress" (though please write or submit a PR if you find a mistake).

Usage

These run on Jupyter Notebook. Assuming you have a working Python:

  1. Clone the repo,
  2. pip install -r requirements.txt,
  3. jupyter notebook. This should open a browser tab where you can see the directory. Click on a notebook file to open it. Use Shift+Enter to run a cell with Python code. For more information, see the Jupyter documentation

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Notes and interactive visualizations for some topics in probability and statistics

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