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praptijaduvanshi (Prapti)
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Mar 5 2024, 1:14 PM (16 w, 6 d)
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Recent Activity

Mar 28 2024

praptijaduvanshi added a comment to T356498: Outreachy Project: Build a data visualization tool for the evolution of Wikipedia articles maintained by WikiProjects.

Hello Mentors,

Mar 28 2024, 9:20 AM · Outreachy (Round 28), Outreach-Programs-Projects

Mar 26 2024

praptijaduvanshi added a comment to T358095: Outreachy Application Task: Tutorial for Wikipedia language-agnostic article quality modeling data.

@Mistura14 how many contributions did you make

Mar 26 2024, 11:59 AM · Outreachy (Round 28)
praptijaduvanshi added a comment to T358095: Outreachy Application Task: Tutorial for Wikipedia language-agnostic article quality modeling data.

Please how do we go about recording the contribution and submitting a final application

Mar 26 2024, 11:50 AM · Outreachy (Round 28)

Mar 19 2024

praptijaduvanshi added a comment to T358095: Outreachy Application Task: Tutorial for Wikipedia language-agnostic article quality modeling data.

Just to make sure, the first task is to do the view count for revision timestamps, and the second task is to use the API with smaller granularity and create data visualizations of the feature value and scores.

Mar 19 2024, 6:23 AM · Outreachy (Round 28)

Mar 9 2024

praptijaduvanshi added a comment to T358095: Outreachy Application Task: Tutorial for Wikipedia language-agnostic article quality modeling data.

Also, I’m a little unclear about what the first task is asking us to do. We need to use the API to return views for revision_timestamps? For every article? Or?
I mean what is the output going to be here.

Mar 9 2024, 3:12 AM · Outreachy (Round 28)

Mar 8 2024

praptijaduvanshi added a comment to T358095: Outreachy Application Task: Tutorial for Wikipedia language-agnostic article quality modeling data.

Message from the project mentors: How will we judge applicants?

It's common for folks to ask us how to make a strong application for this project. The task is open-ended so there is no one "right" answer, but we'll try to give you a bit more guidance. The final notebook (created for the microtask) is our primary means of judging each applicant. For the notebook, we will evaluate it along a few criteria:

  • Quality of code: are there bugs? is your code well-structured, commented, and easy to understand?
  • Quality of notebook: is the notebook well-structured and easy to follow?
  • Creativity: did you try different approaches? did you come up with interesting ideas for future analyses?
  • Iteration: if you receive feedback, were you able to incorporate those changes?
NOTE: because we will likely only provide one round of feedback for each applicant, we recommend submitting the notebook when you are fairly confident it is a complete state. As noted above, you are not evaluated on the quality of your initial notebook but rather how you adapt to the feedback so it's okay to have mistakes, etc., in your notebook in the initial review and you will not be penalized for that.
Mar 8 2024, 9:36 PM · Outreachy (Round 28)

Mar 5 2024

praptijaduvanshi added a comment to T356498: Outreachy Project: Build a data visualization tool for the evolution of Wikipedia articles maintained by WikiProjects.

Hello everyone, my name is Prapti. I'm an Outreachy applicant from India. I'd love to get started and make contributions to this project.

Mar 5 2024, 1:19 PM · Outreachy (Round 28), Outreach-Programs-Projects