# R Ladies Amsterdam - Fraud Dectection with R event :computer:

:calendar: 19 August 2020 @ 18:30 CEST

Hi and welcome! In this interactive document you will find everything you need to know about tonight's event! But you can make it even better! Please add your expectations, questions, feedback, and ideas in the sections below 👇.

## What's happening? :question:
- event itself will be hosted in [zoom](https://us02web.zoom.us/j/87339099112)
- when first arriving in the virtual room, [check-in] by sharing your thoughts below.
- share your expectations, thoughts, questions, comments and feedback here in [hackmd](https://hackmd.io/xhpDaEfHRJuOFJe8yNOiQw?both)

Note: to be able to edit it, **create an account** and **confirm your sign up in your email** , after that you can edit :pencil: the document.

- clone the repo/ download the PDF slides [here](https://github.com/rladiesamsterdam) or find the slides on [speakerdeck](http://bit.ly/bops-amsterdam)

## Rules of engagement
- mute yourself
- ask questions in this doc if something is unclear!- no question is dumb
- use the `raise hand` :hand: function in zoom to indicate to the speaker if you finished with an exercise and are ready to move on!

# Your input
## CHECK IN:

What is your name, where are you from, and what brought you here? :smile:

- Margaux - Amsterdam - love the global R-ladies community!
- Melissa - Amsterdam - love to learn new experiences
- Wally - Singapore - wanna learn about R
- Nancy - Deventer - love to learn and network. Data science nerd!
- Lior - Tel Aviv - I work with Irene and Yogev ;)
- Louise - Tübingen - interested in learning about how R is used outside of academia
- Lotte - Utrecht - Have been wanting to check the group out since the beginning of the pandemic
- Nadya - Indonesia - wanna learn R and interested in what you're doing with R
- Gina - Amsterdam - here to geek out about data and business cases
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What are you hoping to get out of this event with us today? :sparkles: :sparkles: :sparkles:

- I hope to be able to better understand how fraudsters are identified using data-driven approaches
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## Presentation :speech_balloon:
> add your questions for Irene or Yogev here!>

### Questions/thoughts:

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## Feedback
> this is the first time we're trying this out, please let us know what worked and what didn't so we can do better next time :sparkles: :sparkles: :sparkles:

### The good :thumbsup:
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### The not so good :thumbsdown:

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## Anything else you want to share: :upside_down_face:
> If not here - you can always reachout to us via [e-mail]
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## Links :link:
> links to everything you will need!

- [Link to Zoom event](https://us02web.zoom.us/j/87339099112)
- [Github repo](https://github.com/rladiesamsterdam)
- Commit, support & realise- join [my_pair](https://docs.google.com/forms/d/e/1FAIpQLSfW7BwoFm-19lKyaB_S1YpA87KCPEidjmEm4Qvf6fCVPV0Znw/viewform) -> Want to know more? Contact Janine or Melissa
- join next #rladies Netherlands bookclub [see github](https://github.com/rladiesnl/book_club).

## Markdown/HackMD crash-course :mortar_board:
> Markdown cheatsheet in case you need a reminder :wink:
> You can also click on '?' for a longer cheat-sheet!

Type on the left :arrow_left: and see the rendered result on the right. :arrow_right:

- [x] **Bold**
- [ ] *Italic*
- [ ] Super^script^
- [ ] Sub~script~
- [ ] ~~Crossed~~
- [x] ==Highlight==

:::info
:bulb: **Hint:** You can also apply styling from the toolbar at the top :arrow_upper_left: of the editing area.


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