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Feature : Popularity and Likes provided to a "collective" in StackOverflow over 3 years #110
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Hi there! Thanks for opening this issue. We appreciate your contribution to this open-source project. We aim to respond or assign your issue as soon as possible. |
@Srushhhti I assigned to you. make sure not to create not different ipynb file, add to existing ipynb file. |
Hi I'm new to the world of Data but this looks interesting. What does collective mean here? A collective of certain developers or the collective tech stack? |
Im tagging @Srushhhti for answers and let me know if you want to collaborate with @tech-hardik |
Okay. Thank you. |
Collectives are a group of technologies you use most. It helps you find correct answers faster and engage with product experts to get answers and collect information. I am pinning you the link down here, you can check it out if you want. |
If this issue is open , can you please assign me this issue. @sanjay-kv . |
This is issue assign is first come first serve basis, if the assigned person keep the issue on state, then will assigned to u |
HI @sanjay-kv please assign me this issue. |
this is already assigned before and assigned person is working on CR |
This issue has been automatically closed because it has been inactive for more than 30 days. If you believe this is still relevant, feel free to reopen it or create a new one. Thank you! |
Is your feature request related to a problem? Please describe.
It will let you know which collective gives the right answer so that in future, it will help in choosing the correct answer.
Describe the solution you'd like.
I will rank collectives using RankSVM or ListNet. I will solve this issue using different regression algorithms and predict the popularity of various collectives present in stack overflow to get insights. I will also try to add visualization using Matplotlib and seaborn. Although I dont know much about it but I will try to visualise data using Power BI.
Describe alternatives you've considered.
Yes, an alternative would be using decision trees and analyze the popularity of a collective.
What problem is this feature trying to solve?
This issue will help newcomers as well as old ones to identify which collective to trust and follow the most. It will help individuals reduce time consumed in hours of scrapping the correct answers needed.
How do we know when the feature is complete?
I will send a PR in next 5-6 days.
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