https://github.com/glemaitre/eupython_2022

https://github.com/glemaitre/eupython_2022

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/glemaitre/eupython_2022
• Owner: glemaitre
• License: cc0-1.0
• Created: 2022-07-10T07:15:34.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-07-12T00:15:45.000Z (over 2 years ago)
• Last Synced: 2024-10-04T19:45:52.499Z (3 months ago)
• Language: Jupyter Notebook
• Size: 3.61 MB
• Stars: 6
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# EuroPython 2022 - scikit-learn tutorial

Some intro [slides](https://docs.google.com/presentation/d/16AEtPVY4MVnBUsZ8CVPsnpvK5uo9HP3oJZ1Ds3AUBoA/edit?usp=sharing)

## Follow the tutorial online

- Launch an online notebook environment using: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/glemaitre/pydata_berlin_2022_scikit_learn_tutorial/main)

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

```