Let's contribute to scikit-learn! Mentored workshop

PyLadies Berlin are excited to bring you this open source workshop dedicated to contributing to scikit-learn!

scikit-learn is a popular machine learning library and is widely adopted in industry as well as academia. In this session, you will be guided on how you can make your own contributions to the project, no prior experience contributing required! Not only will this teach you new skills and boost your CV, you'll also likely get a nice adrenaline rush when your contribution is accepted! If you don’t finish your contribution during the event, we hope you will continue to work on it after the workshop.

• Format for the session:
First 15 minutes : an introduction - what you can contribute and how to contribute
The rest : "office hours" during which you'll be mentored for making a contribution to scikit-learn.

**Pre Workshop Session**
For attending the event it is required that you have successfully installed the dev version of scikit-learn, have set up a dedicated python environment for the project, and that tests are running successfully. We have a dedicated pre-workshop event scheduled for these tasks which will be happening on 15 February. It is mandatory to sign up for this event if you don't have a working development environment. You can install all requirements yourself by following the instructions on this repository under "1.environment.md" and "2.building.md": https://github.com/scikit-learn-inria-fondation/EuroSciPy22 . You will also find a lot of useful additional information on this page.
Note that during the main workshop, we won't have the resources to help you set up your environment.

❓ Can men attend ❓
Everyone is welcome. :)
If you identify as someone well-represented in open source and in tech, please be mindful of the space and privileges you have, and use it to support others.

• Audience level
Everyone is welcome to attend this session! If you've never contributed to open source software before, then you will learn how to, and if you have experience contributing, then you can either help mentor other attendees or you can work on more challenging contributions. It is useful to have some scikit-learn, git, and python experience.

• Facilitators
The session will be lead by Maren Westermann (PyLadies Berlin), Adrin Jalali (scikit-learn maintainer), and Guillaume Lemaitre (scikit-learn maintainer).

• Host
This event is being sponsored by Sauce Labs
Food and drinks will be available by our hosts 🥳

• By attending our event, you agree to the PyLadies Code of Conduct:[ https://www.pyladies.com/CodeOfConduct/](https://www.pyladies.com/CodeOfConduct/)

❗❗ Attention❗❗
To make all in-person attendees feel safe, we ask everyone to be fully vaccinated or recovered (2G) and additionally IRRESPECTIVE OF THE BOOSTER STATUS, when possible, we suggest wearing masks during the event to be more considerate of others. Please refrain from coming to the event if you feel unwell, we try to make our content also available online, either live or as a recording after the event.
Kindly note that not all participants will be wearing masks. If you are compromised by this, please let us know, and we will ask folks to respect it upon arrival, but we can’t guarantee everyone will follow the recommendation. Also, folks do remove masks for eating and drinking. Please let us know if you have other ideas for how we can help you attend in-person events.

• Contact
Interested in speaking at one of our events? Have a good idea for a Meetup? Get in touch with us at berlin@pyladies.com
Find us on the PyLadies Global workspace:
1. https://slackin.pyladies.com enter your email address.
2. Accept the email invitation
3. Go to workspace https://pyladies.slack.com
4. Join channel #city-berlin, #germany, #jobs-europe