# ISLP_labs

**Repository Path**: computerworkmatrix/ISLP_labs

## Basic Information

- **Project Name**: ISLP_labs
- **Description**: No description available
- **Primary Language**: Python
- **License**: BSD-2-Clause
- **Default Branch**: all-contributors/add-danielawitten
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-10-11
- **Last Updated**: 2024-10-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# ISLP_labs
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[![All Contributors](https://img.shields.io/badge/all_contributors-3-orange.svg?style=flat-square)](#contributors-)
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## Authors

- Trevor Hastie

- Robert Tibshirani
  
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/intro-stat-learning/ISLP_labs/v2.1.3)


Up-to-date version of labs for ISLP. 

This repo will track labs for ISLP as their source code changes.  The
intent is that building a conda environment with
`requirements.txt` will reproduce the results in this repo.

To install the current version of the requirements run

```
pip install -r https://raw.githubusercontent.com/intro-stat-learning/ISLP_labs/v2.1.3/requirements.txt;
```

The labs can now be run from this directory:

```
jupyter lab Ch02-statlearning-lab.ipynb
```


# Zip / tarball

You can download all the labs as a `.zip` or `.tar.gz` [here](https://github.com/intro-stat-learning/ISLP_labs/releases/tag/v2.1.3)


## Contributors ✨

Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):

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      <td align="center" valign="top" width="14.28%"><a href="https://github.com/tibshirani"><img src="https://avatars.githubusercontent.com/u/2848609?v=4?s=100" width="100px;" alt="tibshirani"/><br /><sub><b>tibshirani</b></sub></a><br /><a href="https://github.com/intro-stat-learning/ISLP_labs/commits?author=tibshirani" title="Code">💻</a> <a href="#content-tibshirani" title="Content">🖋</a></td>
      <td align="center" valign="top" width="14.28%"><a href="https://web.stanford.edu/~hastie/"><img src="https://avatars.githubusercontent.com/u/13293253?v=4?s=100" width="100px;" alt="trevorhastie"/><br /><sub><b>trevorhastie</b></sub></a><br /><a href="https://github.com/intro-stat-learning/ISLP_labs/commits?author=trevorhastie" title="Code">💻</a> <a href="#content-trevorhastie" title="Content">🖋</a></td>
      <td align="center" valign="top" width="14.28%"><a href="https://github.com/danielawitten"><img src="https://avatars.githubusercontent.com/u/12654191?v=4?s=100" width="100px;" alt="danielawitten"/><br /><sub><b>danielawitten</b></sub></a><br /><a href="https://github.com/intro-stat-learning/ISLP_labs/commits?author=danielawitten" title="Code">💻</a> <a href="#content-danielawitten" title="Content">🖋</a></td>
    </tr>
  </tbody>
</table>

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This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!