priya-gitTest / pydata_berlin_2022_scikit_learn_tutorial

Scikit-learn tutorial on model inspection given in PyConDE & PyData Berlin 2022

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PyConDE & PyData Berlin 2022 - scikit-learn tutorial

Some intro slides

Follow the tutorial online

  • Launch an online notebook environment using: Binder

You need an internet connection but you will not have to install any package locally.

Running the tutorial locally

Dependencies

The tutorials will require the following packages:

  • python
  • jupyter
  • scikit-learn
  • pandas
  • matplotlib
  • seaborn
  • shap

Local install

We provide both requirements.txt and environment.yml to install packages.

You can install the packages using pip:

$ pip install -r requirements.txt

You can create an sklearn-tutorial conda environment executing:

$ conda env create -f environment.yml

and later activate the environment:

$ conda activate sklearn-tutorial

You might also only update your current environment using:

$ conda env update --prefix ./env --file environment.yml  --prune

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Scikit-learn tutorial on model inspection given in PyConDE & PyData Berlin 2022

License:Creative Commons Zero v1.0 Universal


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Language:Jupyter Notebook 61.9%Language:Python 38.1%