Thank you to everyone who participated and congratulations to the winners. It was a tough competition, which in a way was intended, because protecting the world's biodiversity and preserving nature is never easy.
\nI am deeply humbled by the dedication and effort put in by everyone involved. Rest assured that your work will find its way into conservation and protection of the Western Ghats!
\nPlease make sure to share your approach, your code and (ideally) your working note to ensure that ecologists, biologists and (of course) data scientists can build on your solutions.
\nThank you very much!
", "messages": [ { "id": "2866026", "postDate": "06/11/2024 05:46:59", "content": "Thank you to everyone who participated and congratulations to the winners. It was a tough competition, which in a way was intended, because protecting the world's biodiversity and preserving nature is never easy.
\nI am deeply humbled by the dedication and effort put in by everyone involved. Rest assured that your work will find its way into conservation and protection of the Western Ghats!
\nPlease make sure to share your approach, your code and (ideally) your working note to ensure that ecologists, biologists and (of course) data scientists can build on your solutions.
\nThank you very much!
", "rawMarkdown": "Thank you to everyone who participated and congratulations to the winners. It was a tough competition, which in a way was intended, because protecting the world's biodiversity and preserving nature is never easy.\n\nI am deeply humbled by the dedication and effort put in by everyone involved. Rest assured that your work will find its way into conservation and protection of the Western Ghats!\n\nPlease make sure to share your approach, your code and (ideally) your working note to ensure that ecologists, biologists and (of course) data scientists can build on your solutions.\n\nThank you very much!", "votes": null }, { "id": "2867952", "postDate": "06/12/2024 06:26:20", "content": "Thanks for organizing this very interesting and important competition. I have shared my writeup in the competition discussion forum.
", "rawMarkdown": "Thanks for organizing this very interesting and important competition. I have shared my writeup in the competition discussion forum.", "votes": null }, { "id": "2869066", "postDate": "06/12/2024 20:12:34", "content": "Congrats to all!
\nAs usual, I'll be reading every forum post over the next week or two, and seeing what we can learn from your efforts. No observation is too small, and I'm especially looking forward to hearing how ya'll made use of the unlabelled data.
", "rawMarkdown": "Congrats to all!\n\nAs usual, I'll be reading every forum post over the next week or two, and seeing what we can learn from your efforts. No observation is too small, and I'm especially looking forward to hearing how ya'll made use of the unlabelled data.", "votes": null }, { "id": "2877669", "postDate": "06/18/2024 14:04:34", "content": "Thank you everyone for your participation, here is a recap of this competition.
\nThis competition ended with 6617 registrations and 1198 participants on 974 teams. We had 30118 submissions from 72 countries. For 219 users (including 6 in the top 100!), this was their first competition. Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!
\nThe top potential winning teams will be contacted via email for the next steps. We look forward to learning more about their winning solutions.
\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact compliance. Please fill in all the fields honestly.
\nWe highly encourage you to post a solution write-up about your approach and solution in the forums (see instructions). You may also refer to Kaggle Solution Write-Up Documentation for guidance. You are also encouraged to publish your models on Kaggle Models!
\nThanks for continuing to make Kaggle a great place to learn, practice, and test data science techniques!
\nKaggle Team
", "rawMarkdown": "Thank you everyone for your participation, here is a recap of this competition.\n\nThis competition ended with 6617 registrations and 1198 participants on 974 teams. We had 30118 submissions from 72 countries. For 219 users (including 6 in the top 100!), this was their first competition. Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking! \n\nThe top potential winning teams will be contacted via email for the next steps. We look forward to learning more about their winning solutions.\n\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact [compliance](https://www.kaggle.com/compliance). Please fill in all the fields honestly.\n\nWe highly encourage you to post a solution write-up about your approach and solution in the forums (see [instructions](https://www.kaggle.com/discussions/product-feedback/373153)). You may also refer to [Kaggle Solution Write-Up Documentation](https://www.kaggle.com/solution-write-up-documentation) for guidance. You are also encouraged to [publish your models on Kaggle Models](https://www.kaggle.com/docs/models#publishing-a-model)!\n\nThanks for continuing to make Kaggle a great place to learn, practice, and test data science techniques!\n\nKaggle Team", "votes": null }, { "id": "2911429", "postDate": "07/08/2024 09:26:27", "content": "hi
", "rawMarkdown": "hi", "votes": null } ], "comments": [ { "id": 2867952, "author_name": "crsuthikshnkumar", "author_url": "", "post_date": "06/12/2024 06:26:20", "content": "Thanks for organizing this very interesting and important competition. I have shared my writeup in the competition discussion forum.
", "votes": null, "replies": [] }, { "id": 2869066, "author_name": "tomdenton", "author_url": "", "post_date": "06/12/2024 20:12:34", "content": "Congrats to all!
\nAs usual, I'll be reading every forum post over the next week or two, and seeing what we can learn from your efforts. No observation is too small, and I'm especially looking forward to hearing how ya'll made use of the unlabelled data.
", "votes": null, "replies": [] }, { "id": 2877669, "author_name": "maggiemd", "author_url": "", "post_date": "06/18/2024 14:04:34", "content": "Thank you everyone for your participation, here is a recap of this competition.
\nThis competition ended with 6617 registrations and 1198 participants on 974 teams. We had 30118 submissions from 72 countries. For 219 users (including 6 in the top 100!), this was their first competition. Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!
\nThe top potential winning teams will be contacted via email for the next steps. We look forward to learning more about their winning solutions.
\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact compliance. Please fill in all the fields honestly.
\nWe highly encourage you to post a solution write-up about your approach and solution in the forums (see instructions). You may also refer to Kaggle Solution Write-Up Documentation for guidance. You are also encouraged to publish your models on Kaggle Models!
\nThanks for continuing to make Kaggle a great place to learn, practice, and test data science techniques!
\nKaggle Team
", "votes": null, "replies": [] }, { "id": 2911429, "author_name": "", "author_url": "", "post_date": "07/08/2024 09:26:27", "content": "hi
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "2866026": "Thank you to everyone who participated and congratulations to the winners. It was a tough competition, which in a way was intended, because protecting the world's biodiversity and preserving nature is never easy.\n\nI am deeply humbled by the dedication and effort put in by everyone involved. Rest assured that your work will find its way into conservation and protection of the Western Ghats!\n\nPlease make sure to share your approach, your code and (ideally) your working note to ensure that ecologists, biologists and (of course) data scientists can build on your solutions.\n\nThank you very much!", "2867952": "Thanks for organizing this very interesting and important competition. I have shared my writeup in the competition discussion forum.", "2869066": "Congrats to all!\n\nAs usual, I'll be reading every forum post over the next week or two, and seeing what we can learn from your efforts. No observation is too small, and I'm especially looking forward to hearing how ya'll made use of the unlabelled data.", "2877669": "Thank you everyone for your participation, here is a recap of this competition.\n\nThis competition ended with 6617 registrations and 1198 participants on 974 teams. We had 30118 submissions from 72 countries. For 219 users (including 6 in the top 100!), this was their first competition. Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking! \n\nThe top potential winning teams will be contacted via email for the next steps. We look forward to learning more about their winning solutions.\n\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact [compliance](https://www.kaggle.com/compliance). Please fill in all the fields honestly.\n\nWe highly encourage you to post a solution write-up about your approach and solution in the forums (see [instructions](https://www.kaggle.com/discussions/product-feedback/373153)). You may also refer to [Kaggle Solution Write-Up Documentation](https://www.kaggle.com/solution-write-up-documentation) for guidance. You are also encouraged to [publish your models on Kaggle Models](https://www.kaggle.com/docs/models#publishing-a-model)!\n\nThanks for continuing to make Kaggle a great place to learn, practice, and test data science techniques!\n\nKaggle Team", "2911429": "hi" }, "source": "meta" }