https://github.com/kteavery/dip-into-data-tutorial

Data science tutorial for grades 9 and 10, covering classification, clustering, and regression
https://github.com/kteavery/dip-into-data-tutorial

data-science jupyter-notebook python tutorial

Last synced: 11 months ago
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Data science tutorial for grades 9 and 10, covering classification, clustering, and regression

• Host: GitHub
• URL: https://github.com/kteavery/dip-into-data-tutorial
• Owner: kteavery
• License: mit
• Created: 2020-10-01T02:17:45.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-11-28T00:29:04.000Z (about 5 years ago)
• Last Synced: 2025-01-27T23:40:50.523Z (about 1 year ago)
• Topics: data-science, jupyter-notebook, python, tutorial
• Language: Jupyter Notebook
• Homepage:
• Size: 27.3 MB
• Stars: 0
• Watchers: 3
• Forks: 1
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Dip into Data Tutorial

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/kteavery/dip-into-data-tutorial/HEAD?filepath=dip-into-data-tutorial%2Flessons%2Fclassification-lesson.ipynb)

This is a data science tutorial for grades 9 and 10. It briefly covers classification, clustering, and regression and uses the [World Happiness Dataset](https://www.kaggle.com/unsdsn/world-happiness) from the years 2015 to 2019. Click "launch binder" above to run the Jupyter notebook tutorials.