{
  "id": 130588,
  "title": "New to Kaggle or Machine Learning?",
  "url": "/competitions/google-cloud-ncaa-march-madness-2020-division-1-mens-tournament/discussion/130588",
  "author_name": "",
  "post_date": "2020-02-15T02:22:02.783126200Z",
  "votes": 3,
  "comment_count": 3,
  "views": 0,
  "content": "<p>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! </p>\n\n<p>If you would consider yourself a beginner but don't know where to get started, let other Kagglers help you take your first steps here!</p>\n\n<p>New to Kaggle? Take a look at a few videos that Dr. Rachael Tatman has put together to learn a bit more about <a href=\"https://www.youtube.com/watch?v=aIus8si_Et0\">site etiquette</a>, <a href=\"https://www.youtube.com/watch?v=sEJHyuWKd-s\">Kaggle lingo</a>, and <a href=\"https://www.youtube.com/watch?&amp;v=GJBOMWpLpTQ\">how to enter a competition using Kaggle Notebooks</a>.</p>",
  "messages": [
    {
      "id": "746444",
      "postDate": "02/15/2020 02:22:02",
      "content": "<p>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! </p>\n\n<p>If you would consider yourself a beginner but don't know where to get started, let other Kagglers help you take your first steps here!</p>\n\n<p>New to Kaggle? Take a look at a few videos that Dr. Rachael Tatman has put together to learn a bit more about <a href=\"https://www.youtube.com/watch?v=aIus8si_Et0\">site etiquette</a>, <a href=\"https://www.youtube.com/watch?v=sEJHyuWKd-s\">Kaggle lingo</a>, and <a href=\"https://www.youtube.com/watch?&amp;v=GJBOMWpLpTQ\">how to enter a competition using Kaggle Notebooks</a>.</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\nIf you would consider yourself a beginner but don't know where to get started, let other Kagglers help you take your first steps here!\n\nNew to Kaggle? Take a look at a few videos that Dr. Rachael Tatman has put together 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?&amp;v=GJBOMWpLpTQ).",
      "votes": null
    },
    {
      "id": "748170",
      "postDate": "02/17/2020 08:18:56",
      "content": "<p>That's Helpful.</p>",
      "rawMarkdown": "That's Helpful.",
      "votes": null
    },
    {
      "id": "752185",
      "postDate": "02/20/2020 19:31:12",
      "content": "<p>great</p>",
      "rawMarkdown": "great",
      "votes": null
    },
    {
      "id": "762433",
      "postDate": "03/03/2020 14:03:11",
      "content": "<p>I'm a too beginner, and is this competition is apt for me?</p>",
      "rawMarkdown": "I'm a too beginner, and is this competition is apt for me?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 748170,
      "author_name": "sumitm004",
      "author_url": "",
      "post_date": "02/17/2020 08:18:56",
      "content": "<p>That's Helpful.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 752185,
      "author_name": "",
      "author_url": "",
      "post_date": "02/20/2020 19:31:12",
      "content": "<p>great</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 762433,
      "author_name": "kannanaikkal",
      "author_url": "",
      "post_date": "03/03/2020 14:03:11",
      "content": "<p>I'm a too beginner, and is this competition is apt for me?</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "746444": "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\nIf you would consider yourself a beginner but don't know where to get started, let other Kagglers help you take your first steps here!\n\nNew to Kaggle? Take a look at a few videos that Dr. Rachael Tatman has put together 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?&amp;v=GJBOMWpLpTQ).",
    "748170": "That's Helpful.",
    "752185": "great",
    "762433": "I'm a too beginner, and is this competition is apt for me?"
  },
  "source": "meta"
}