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Outreachy December 2021 #39

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12 tasks done
lacabra opened this issue Oct 4, 2021 · 28 comments
Closed
12 tasks done

Outreachy December 2021 #39

lacabra opened this issue Oct 4, 2021 · 28 comments
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good first issue Good for newcomers

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@lacabra
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lacabra commented Oct 4, 2021

Dear Outreachy Participants,

First and foremost, thank you for you interest in contributing to the work of UNICEF. We have been humbled by an outpour of enthusiasm and contributions in prior editions of Outreachy, and we expect this time will be no different, so you all have our deepest gratitude in advance 💙

To be considered for the upcoming internship starting in December 2021, please be sure to check the following items:

Additional one-off tasks include the following (check if they have not been assigned already before working on these):

We recognize the highly competitive nature of this process, where unfortunately we will only be able to award one internship. We want to provide some insight into how that decision will be made, that is we will prioritize the individual who has added the most value to this project, which is not necessarily measured in the number of pull requests open, but the value added through those pull requests.

Please note that we are not accepting contributions to the actual project of Create a retraining Machine Learning Classification Model strategy for Kindly until we make the selection of the applicant that will receive the internship.

We will update this issue with other opportunities for you to contribute during the month of October; we recommend that you come back to this issue once a week and check for updates, and remember that you can always come and chat with us.

As a courtesy to other participants:

  • the first several issues listed above are meant for many participants to work in parallel, you do not need to "claim" them to be assigned to you; just work on them right away. We may later post some issues where we expect one contributor to work on it at a time, for which the relevant points below apply.
  • "claim" an issue from the above list by commenting on that issue when you start working on it
  • don't claim an issue unless you are actively working on it; and don't claim more than one issue at a time.
  • don't keep an issue claimed stale. If you decide that you don't want to work on it anymore, post a second comment saying so, so that others can take it on
  • you can collaboratively work on any of the issues above with other participants interested in the same issue. We welcome collaborative participants
  • ask issue-specific questions on each separate issue. Only comment on this issue on generic questions or use our public chat

The UNICEF Team:

@lacabra lacabra added the good first issue Good for newcomers label Oct 4, 2021
@amreenp7
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amreenp7 commented Oct 4, 2021

Looking forward to meeting you all (virtually). Wishing you all the best!

@nathanfletcher
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Can't wait ! See you all!

@rgrupesh
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rgrupesh commented Oct 9, 2021

Hello @lacabra,

I am working on first item in the check list( Prototyping models in AI Platform Notebooks). It requires compute Engine API to be enabled first. And, to enable compute engine API I need to enter my card details. I tried using my local card but in vain. Currently, I do not have international card. How should I go about this?

@lacabra
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lacabra commented Oct 9, 2021

Thanks @rgrupesh, that's a question for @nathanfletcher. Let's wait for his response. You can tackle the next items on the list for now. Sorry about the inconvenience

@olasunkanmimariam
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Hello @nathanfletcher,

I have started working on the first item(prototying models in AI Platform Notebooks). Please, the operating system to be selected is not specified. I want to ask which one is required (Debian 10 or Ubuntu 18.4)

@Melodie97
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Hello @nathanfletcher,

I'm working on the first item (prototyping models in AI Platform Notebooks), I've followed the steps listed out successfully, however, I'm having a problem using the What-If tool. It doesn't display what is shown in the steps. Also is there anything we are to do to mark the first item as completed?

@Jeraldson
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hello @nathanfletcher,

I started working on (prototyping models in AI Platform Notebooks). I had no idea we had to provide credit card details at some point. is it possible to proceed with the subsequent tasks in the mean time?

@MuluhGodson
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Hi @nathanfletcher @lacabra @amreenp7
It's a great pleasure to be here. I just completed the first step which is completing the Machine Learning Codelab. It was a wonderful experience, although some parts of the code had some issues but I learnt a great deal and amazingly earned my 5th badge (First Codelab Completed).
image

Here is a link to the repository I created as a result of the Codelab:

https://github.com/MuluhGodson/KindlyCodelab

@nathanfletcher
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Hello @nathanfletcher,

I have started working on the first item(prototying models in AI Platform Notebooks). Please, the operating system to be selected is not specified. I want to ask which one is required (Debian 10 or Ubuntu 18.4)

hi @olasunkanmimariam both operating systems will work just fine and be able to complete the task.
Personally, I prefer Ubuntu 😊

@nathanfletcher
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Hello @nathanfletcher,

I'm working on the first item (prototyping models in AI Platform Notebooks), I've followed the steps listed out successfully, however, I'm having a problem using the What-If tool. It doesn't display what is shown in the steps. Also is there anything we are to do to mark the first item as completed?

Hi, @Melodie97 there seems to be a bug for this particular notebook. The what-if tool works great on other Notebooks. Feel free to try it there to see how it works. Google Colab is a great alternative notebook to try it in.
The link to the completed project in your GitHub would be what is required to mark it as complete.

@nathanfletcher
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hello @nathanfletcher,

I started working on (prototyping models in AI Platform Notebooks). I had no idea we had to provide credit card details at some point. is it possible to proceed with the subsequent tasks in the mean time?

Hi @Jeraldson, you can use an alternate notebook such as Google Colab. Google Colab is a great alternative notebook to try it in. However, it may have its own way of exporting the file you come up with to your GitHub. The instructions may not be the same. You will have to figure that out.
You can also proceed with the other tasks and come back to this later.

@Melodie97
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Hi @nathanfletcher, @lacabra, @amreenp7

I have finished with the first task, and am excited to go on to the next!
Here's a link to the repository I created following the codelab

https://github.com/Melodie97/AI-Notebook

@rgrupesh
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Hello @lacabra , @amreenp7 , @nathanfletcher

I have completed my first(Prototyping models in AI Platform Notebooks) and fourth task(Run the Kindly API and Client locally and contribute to the documentation).

Here is the link to the notebook:
github: link
nbviewer: link

In the notebook, I have used BigQuery through pandas-gbq. I used google colab for the project instead of creating Notebooks instance using Compute Engine API.

Regarding the third task(Review 3 existing digital public good submissions), I am consistently getting error message at least one meaningful comment is required while validating digital public good. I have written comment for each of the questions but it keeps showing me this error . I tried revoking github Oauth access and again provided github access but in vain. What am I missing here?

@dkchebet7
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I am a bit late in joining the fun, but I am looking forward to making awesome finds.
Cheers!

@lacabra
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lacabra commented Oct 13, 2021

@dkchebet7 We are getting started here, welcome to the party 🥳

@lacabra
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lacabra commented Oct 13, 2021

@rgrupesh Your comments must be at least 50 characters long to be considered meaningful 🙃

@sabinevidal
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Here's my repo for the task1 Codelab 😊

@Ashara-kosi
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Done with the first task....here is my repo codelab

@aldeav
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aldeav commented Oct 15, 2021

Here is the link to the first task, done with Google Colab.

https://github.com/aldeav/UNICEF

@Ifeanyi30
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Hey guys! I used jupyter notebook in vscode for the first task solution, hope its alright.

https://github.com/Ifeanyi30/kindlycodelab

@Melodie97
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Hi @nathanfletcher @lacabra
I'm currently working on the 4th task - [Outreachy] Test the code, improve documentation #33
I tried following the deployment documentation and running the code locally on docker, I realized there were no instructions on how to add the token during the docker build/run process. I have made changes to the documentation locally and would like to know if it's ok to push these changes

@lacabra
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lacabra commented Oct 16, 2021

Hi @Melodie97, thanks in advance for your contribution. Thanks for asking, but you don't need our permission to open a pull request to propose new changes, everyone is welcome to contribute anytime. Please go ahead and open a pull request and we'll review and discuss with you there 💪

@Melodie97
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Hi @lacabra
I've contributed to the fourth task - [Outreachy] Test the code, improve documentation #33, and created a pull request

@lacabra
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lacabra commented Oct 19, 2021

Thank you @Melodie97, we are already tracking all contributions from all Outreachy applicants if they result in pull requests across all our repos. We only need you to comment on this thread about the completion of the Codelab Notebook because that does not result in a pull request per se. Thanks again!

@Lovelyfin00
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Hi @lacabra
The link below is the link to the demo.ipynb file I created for the Codelab Notebook
https://github.com/Lovelyfin00/Outreachy/blob/main/demo.ipynb

@olasunkanmimariam
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Hi @lacabra
Here is the link to the first task demo.ipynb

https://github.com/olasunkanmimariam/Unicef-codelab.git

@abidKiller
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Hi @lacabra
here's the repo for 1st task : https://github.com/abidKiller/kindly-codelab.git

@lacabra
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lacabra commented Nov 10, 2021

Closing this issue as most of the linked issues above have been resolved and the Outreachy selection period has ended. The selected intern will be announced on November 22, 2021.

Thank you all for all of you amazing contributions to UNICEF, Digital Public Goods and Kindly! 💪 🙏

@lacabra lacabra closed this as completed Nov 10, 2021
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