https://github.com/post2web/statistics
A collection of python statistical jupyter notebooks
https://github.com/post2web/statistics
Last synced: about 1 year ago
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A collection of python statistical jupyter notebooks
- Host: GitHub
- URL: https://github.com/post2web/statistics
- Owner: post2web
- Created: 2017-04-16T22:23:17.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2018-10-04T00:09:37.000Z (over 7 years ago)
- Last Synced: 2025-02-03T23:42:56.145Z (over 1 year ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 3.7 MB
- Stars: 6
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# A collection of python statistics notebooks
This is a collection of jupyter notebooks I used to prepare myself for my experimental statistics 1 final. Since python is my language of choice I am translating everything we learn from SAS to python.
## Goals for this project
* Keep it basic and simple
* Easy to reproducible code in cheat-sheet style notebooks
* All examples and charts should be viewable directly from github
## Notebooks
* [basics](basics.ipynb)
* [plotting](plotting.ipynb)
* [plotting with seaborn](plotting_seaborn.ipynb)
* [1 group or paired testing](1_group_or_paired_testing.ipynb)
* [2 groups testing](2_group_testing.ipynb)
* [power](power.ipynb)
* [3_or_more_groups_testing](3_or_more_groups_testing.ipynb)
* [permutation test](permutation_test.ipynb)
* [linear regression](linear_regression.ipynb)
* [Cross-validation](cross-validation.ipynb)
## Other
* [LaTeX examples](LaTeX_examples.ipynb)
* [flashcards](https://www.coursehero.com/flashcards/449901/Stats-python/)