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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

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Python and Julia programs, a compilation of notebooks for various analyses

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# 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 |