https://github.com/brickfrog/jupytercomp
Python and Julia programs, a compilation of notebooks for various analyses
https://github.com/brickfrog/jupytercomp
data-science datascience julia jupyter-notebook jupyter-notebooks python
Last synced: 2 months ago
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Python and Julia programs, a compilation of notebooks for various analyses
- Host: GitHub
- URL: https://github.com/brickfrog/jupytercomp
- Owner: brickfrog
- Created: 2021-12-26T00:00:34.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2022-03-06T22:23:41.000Z (about 3 years ago)
- Last Synced: 2025-03-14T22:52:46.317Z (2 months ago)
- Topics: data-science, datascience, julia, jupyter-notebook, jupyter-notebooks, python
- Language: Jupyter Notebook
- Homepage:
- Size: 418 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Jupyter Compilation
Compilation of notebooks and things as to not clutter up with multiple repos, inspired by: https://github.com/norvig/pytudes. Less of a focus on particular programming skills, more of a compilaton of analyses and such.
# Index of Jupyter Notebooks
For each notebook you can:
- Click on [n](https://nbviewer.jupyter.org/) to **view** the notebook on NBViewer
- Click on the title to **view** the notebook on github.
- Hover over the title to **view** a description.
---
|External|Year|Language|Showcasing|Title|
|---|---|---|---|---|
|[n](https://nbviewer.jupyter.org/github/brickfrog/JupyterComp/blob/master/ipynb/analysis_and_tips_julia.ipynb) | 2021 | Julia | [MLJ](https://github.com/alan-turing-institute/MLJ.jl), [ScikitLearn](https://github.com/cstjean/ScikitLearn.jl) | Numerai Tips and Tricks (Old) |
|[n](https://nbviewer.jupyter.org/github/brickfrog/JupyterComp/blob/master/ipynb/supercustomer_propensity.ipynb) | 2022 | Python | [Featuretools](https://github.com/alteryx/featuretools), [Compose](https://github.com/alteryx/compose), [PyCaret](https://github.com/pycaret/pycaret) |Super Customer Propensity Modeling |