New to machine learning and data science? No question is too basic or too simple. Feel free to start your own thread, or use this thread as a place to post any first-timer clarifying questions for the Kaggle community to help you with!
\nNew to Kaggle? Take a look at a few videos to learn a bit more about site etiquette, Kaggle lingo, and how to enter a competition using Kaggle Notebooks. Publish and share your models on Kaggle Models!
\nLooking for a team? Express your interest in joining a team through our Team Up feature .
\nRemember: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our Kaggle community guidelines.
", "messages": [ { "id": 2727598, "postDate": "2024-04-01T20:37:23.630Z", "content": "New to machine learning and data science? No question is too basic or too simple. Feel free to start your own thread, or use this thread as a place to post any first-timer clarifying questions for the Kaggle community to help you with!
\nNew to Kaggle? Take a look at a few videos to learn a bit more about site etiquette, Kaggle lingo, and how to enter a competition using Kaggle Notebooks. Publish and share your models on Kaggle Models!
\nLooking for a team? Express your interest in joining a team through our Team Up feature .
\nRemember: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our Kaggle community guidelines.
", "rawMarkdown": "**New to machine learning and data science?** No question is too basic or too simple. Feel free to start your own thread, or use this thread as a place to post any first-timer clarifying questions for the Kaggle community to help you with!\n\n**New to Kaggle?** Take a look at a few videos to learn a bit more about [site etiquette](https://www.youtube.com/watch?v=aIus8si_Et0), [Kaggle lingo](https://www.youtube.com/watch?v=sEJHyuWKd-s), and [how to enter a competition using Kaggle Notebooks](https://www.youtube.com/watch?&v=GJBOMWpLpTQ). Publish and share your [models on Kaggle Models](https://www.kaggle.com/docs/models#publishing-a-model)!\n\n**Looking for a team?** Express your interest in joining a team through our [Team Up](https://www.kaggle.com/discussions/product-feedback/341195) feature .\n\n**Remember**: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our Kaggle community guidelines.", "votes": 9 }, { "id": 2769725, "postDate": "2024-04-23T14:11:59.227Z", "content": "On what basis do we get ranked on the Leaderboard?
", "rawMarkdown": "On what basis do we get ranked on the **Leaderboard**?", "replies": [ { "id": 2771684, "postDate": "2024-04-24T11:08:53.167Z", "content": "You will get ranked on the leaderboard based on the R-squared of your model. You can read more on the Overview page of this competition.
", "rawMarkdown": "You will get ranked on the leaderboard based on the **R-squared** of your model. You can read more on the Overview page of this competition." } ] }, { "id": 2759903, "postDate": "2024-04-19T01:59:34.370Z", "rawMarkdown": "", "isDeleted": true } ], "comments": [ { "id": 2769725, "author_name": "Mohammed Faisal Khan", "author_url": "", "post_date": "2024-04-23T14:11:59.227000", "content": "On what basis do we get ranked on the Leaderboard?
", "votes": 0, "replies": [ { "id": 2771684, "author_name": "Margaritelli", "author_url": "", "post_date": "2024-04-24T11:08:53.167000", "content": "You will get ranked on the leaderboard based on the R-squared of your model. You can read more on the Overview page of this competition.
", "votes": 0, "replies": [] } ] }, { "id": 2759903, "author_name": "", "author_url": "", "post_date": "2024-04-19T01:59:34.370000", "content": "", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "2727598": "**New to machine learning and data science?** No question is too basic or too simple. Feel free to start your own thread, or use this thread as a place to post any first-timer clarifying questions for the Kaggle community to help you with!\n\n**New to Kaggle?** Take a look at a few videos to learn a bit more about [site etiquette](https://www.youtube.com/watch?v=aIus8si_Et0), [Kaggle lingo](https://www.youtube.com/watch?v=sEJHyuWKd-s), and [how to enter a competition using Kaggle Notebooks](https://www.youtube.com/watch?&v=GJBOMWpLpTQ). Publish and share your [models on Kaggle Models](https://www.kaggle.com/docs/models#publishing-a-model)!\n\n**Looking for a team?** Express your interest in joining a team through our [Team Up](https://www.kaggle.com/discussions/product-feedback/341195) feature .\n\n**Remember**: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our Kaggle community guidelines.", "2769725": "On what basis do we get ranked on the **Leaderboard**?", "2759903": "" } }