https://github.com/equinor/intro-to-data-science

A 1-day course introducing concepts in data science
https://github.com/equinor/intro-to-data-science

classification geoscience machine-learning teaching-materials

Last synced: 6 months ago
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A 1-day course introducing concepts in data science

• Host: GitHub
• URL: https://github.com/equinor/intro-to-data-science
• Owner: equinor
• License: mit
• Created: 2024-06-25T12:55:47.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-02-18T10:44:57.000Z (8 months ago)
• Last Synced: 2025-04-12T08:09:26.041Z (6 months ago)
• Topics: classification, geoscience, machine-learning, teaching-materials
• Language: Jupyter Notebook
• Homepage:
• Size: 2.65 MB
• Stars: 12
• Watchers: 1
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Security: SECURITY.md

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README

          
# intro-to-data-science

Content for a 1- to 2-day course introducing concepts in data science, aimed at intermediate Python coders.

## Curriculum

- [`0_data.ipynb`](./0_data.ipynb) — A quick introduction to `pandas` for data loading and exploratory data analysis (EDA) tasks.

- [`1_classification.ipynb`](./1_classification.ipynb) — A small classification task: lithology prediction.

- [`2_regression.ipynb`](./2_regression.ipynb) — A small regression task: well log prediction.

- [`2_regression_short.ipynb`](./2_regression_short.ipynb) — A shorter version of the lesson on regression.