{
  "id": 564931,
  "title": "Get started here",
  "url": "/competitions/stanford-rna-3d-folding/discussion/564931",
  "author_name": "",
  "post_date": "2025-02-25T19:48:56.617734300Z",
  "votes": 12,
  "comment_count": 1,
  "views": 0,
  "content": "<p><strong>New to machine learning and data science?</strong> 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!</p>\n<p><strong>New to Kaggle?</strong> Take a look at a few videos to learn a bit more about <a href=\"https://www.youtube.com/watch?v=aIus8si_Et0\" target=\"_blank\">site etiquette</a>, <a href=\"https://www.youtube.com/watch?v=sEJHyuWKd-s\" target=\"_blank\">Kaggle lingo</a>, and <a href=\"https://www.youtube.com/watch?&amp;v=GJBOMWpLpTQ\" target=\"_blank\">how to enter a competition using Kaggle Notebooks</a>. Publish and share your <a href=\"https://www.kaggle.com/discussions/product-feedback/470613#2618447\" target=\"_blank\">models on Kaggle Models</a> (and request to have them made public)!</p>\n<p><strong>Looking for a team?</strong> Express your interest in joining a team through our <a href=\"https://www.kaggle.com/discussions/product-feedback/341195\" target=\"_blank\">Team Up</a> feature.</p>\n<p><strong>Remember</strong>: 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.</p>",
  "messages": [
    {
      "id": "3133906",
      "postDate": "02/25/2025 19:48:56",
      "content": "<p><strong>New to machine learning and data science?</strong> 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!</p>\n<p><strong>New to Kaggle?</strong> Take a look at a few videos to learn a bit more about <a href=\"https://www.youtube.com/watch?v=aIus8si_Et0\" target=\"_blank\">site etiquette</a>, <a href=\"https://www.youtube.com/watch?v=sEJHyuWKd-s\" target=\"_blank\">Kaggle lingo</a>, and <a href=\"https://www.youtube.com/watch?&amp;v=GJBOMWpLpTQ\" target=\"_blank\">how to enter a competition using Kaggle Notebooks</a>. Publish and share your <a href=\"https://www.kaggle.com/discussions/product-feedback/470613#2618447\" target=\"_blank\">models on Kaggle Models</a> (and request to have them made public)!</p>\n<p><strong>Looking for a team?</strong> Express your interest in joining a team through our <a href=\"https://www.kaggle.com/discussions/product-feedback/341195\" target=\"_blank\">Team Up</a> feature.</p>\n<p><strong>Remember</strong>: 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.</p>",
      "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/discussions/product-feedback/470613#2618447) (and request to have them made public)!\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": null
    },
    {
      "id": "3175018",
      "postDate": "04/09/2025 16:36:03",
      "content": "<p>thanks you so much</p>",
      "rawMarkdown": "thanks you so much",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3175018,
      "author_name": "danishghaffar133",
      "author_url": "",
      "post_date": "04/09/2025 16:36:03",
      "content": "<p>thanks you so much</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3133906": "**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/discussions/product-feedback/470613#2618447) (and request to have them made public)!\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.",
    "3175018": "thanks you so much"
  },
  "source": "meta"
}