https://github.com/andreasthinks/python-ml-tutorial

https://github.com/andreasthinks/python-ml-tutorial

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/andreasthinks/python-ml-tutorial
• Owner: AndreasThinks
• License: mit
• Created: 2023-06-13T08:20:48.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-09-25T21:31:16.000Z (over 1 year ago)
• Last Synced: 2025-01-27T22:44:33.223Z (3 months ago)
• Language: HTML
• Size: 3.73 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Evidence House Machine Learning Workshop

The purpose of this tutorial is to take you through a range of core ML techniques

This notebook is available on Kaggle, as both:

- [a completed notebook](https://www.kaggle.com/code/crimsoneer/eh-python-ml-tutorial-complete)

- [a tutorial to complete](https://www.kaggle.com/crimsoneer/eh-python-ml-tutorial)

## Installation

### Start with Binder

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/AndreasThinks/python-ml-tutorial/HEAD?labpath=notebooks%2F1-tutorial.ipynb)

## Credits

This repository was only possible thanks to others repository that as used. In particular I would like to call out:

* [mlflow-training](https://github.com/theopinard/mlflow-training)

* [python-devcontainer-template](https://github.com/godatadriven/python-devcontainer-template)

* [recipes-examples](https://github.com/mlflow/recipes-examples)