{
  "id": 264183,
  "title": "I'm a first time learner and don't know much about it, so I'd like to ask a question.",
  "url": "/competitions/g2net-gravitational-wave-detection/discussion/264183",
  "author_name": "",
  "post_date": "2021-08-11T09:34:01.345109900Z",
  "votes": 1,
  "comment_count": 3,
  "views": 0,
  "content": "<p>I'm a first time learner and don't know much about it, so I'd like to ask some questions.</p>\n<p>1，What is train_labels? What are they for?</p>\n<p>Does it mean unsupervised learning?<br>\nHow do you know that?<br>\nIs this the correct answer data?</p>\n<p>2，What should I preprocess? I would appreciate it if you could give me a brief explanation verbally and by feeling.</p>\n<p>Don't you all understand?<br>\nFor example, is it possible to reject strange images, and then run the model around?</p>\n<p>I'd like to have a concrete example, just for example.</p>\n<p>I want to win the prize money and go to space, so please help me!</p>",
  "messages": [
    {
      "id": "1466041",
      "postDate": "08/11/2021 09:34:01",
      "content": "<p>I'm a first time learner and don't know much about it, so I'd like to ask some questions.</p>\n<p>1，What is train_labels? What are they for?</p>\n<p>Does it mean unsupervised learning?<br>\nHow do you know that?<br>\nIs this the correct answer data?</p>\n<p>2，What should I preprocess? I would appreciate it if you could give me a brief explanation verbally and by feeling.</p>\n<p>Don't you all understand?<br>\nFor example, is it possible to reject strange images, and then run the model around?</p>\n<p>I'd like to have a concrete example, just for example.</p>\n<p>I want to win the prize money and go to space, so please help me!</p>",
      "rawMarkdown": "I'm a first time learner and don't know much about it, so I'd like to ask some questions.\n\n1，What is train_labels? What are they for?\n\nDoes it mean unsupervised learning?\nHow do you know that?\nIs this the correct answer data?\n\n\n2，What should I preprocess? I would appreciate it if you could give me a brief explanation verbally and by feeling.\n\nDon't you all understand?\nFor example, is it possible to reject strange images, and then run the model around?\n\nI'd like to have a concrete example, just for example.\n\nI want to win the prize money and go to space, so please help me!",
      "votes": null
    },
    {
      "id": "1466185",
      "postDate": "08/11/2021 10:57:14",
      "content": "<p>There’s a dedicated thread <a href=\"https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/249965\" target=\"_blank\">here</a> for this kind of questions which you might find useful.</p>",
      "rawMarkdown": "There’s a dedicated thread [here](https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/249965) for this kind of questions which you might find useful.",
      "votes": null
    },
    {
      "id": "1467402",
      "postDate": "08/12/2021 01:01:33",
      "content": "<p>Thanks! christoffer</p>",
      "rawMarkdown": "Thanks! christoffer",
      "votes": null
    },
    {
      "id": "1561207",
      "postDate": "10/27/2021 12:19:43",
      "content": "<p>Hey All,</p>\n<p>Thank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey <a href=\"https://forms.gle/QP9L16niPexozyhu5\" target=\"_blank\">https://forms.gle/QP9L16niPexozyhu5</a>.</p>\n<p>Thank you all,</p>\n<p>Regards,<br>\nChris</p>",
      "rawMarkdown": "Hey All,\n\nThank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey https://forms.gle/QP9L16niPexozyhu5.\n\nThank you all,\n\nRegards,\nChris",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1466185,
      "author_name": "christoffer",
      "author_url": "",
      "post_date": "08/11/2021 10:57:14",
      "content": "<p>There’s a dedicated thread <a href=\"https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/249965\" target=\"_blank\">here</a> for this kind of questions which you might find useful.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1467402,
      "author_name": "taiyofuckyou",
      "author_url": "",
      "post_date": "08/12/2021 01:01:33",
      "content": "<p>Thanks! christoffer</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1561207,
      "author_name": "zerafachris",
      "author_url": "",
      "post_date": "10/27/2021 12:19:43",
      "content": "<p>Hey All,</p>\n<p>Thank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey <a href=\"https://forms.gle/QP9L16niPexozyhu5\" target=\"_blank\">https://forms.gle/QP9L16niPexozyhu5</a>.</p>\n<p>Thank you all,</p>\n<p>Regards,<br>\nChris</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1466041": "I'm a first time learner and don't know much about it, so I'd like to ask some questions.\n\n1，What is train_labels? What are they for?\n\nDoes it mean unsupervised learning?\nHow do you know that?\nIs this the correct answer data?\n\n\n2，What should I preprocess? I would appreciate it if you could give me a brief explanation verbally and by feeling.\n\nDon't you all understand?\nFor example, is it possible to reject strange images, and then run the model around?\n\nI'd like to have a concrete example, just for example.\n\nI want to win the prize money and go to space, so please help me!",
    "1466185": "There’s a dedicated thread [here](https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/249965) for this kind of questions which you might find useful.",
    "1467402": "Thanks! christoffer",
    "1561207": "Hey All,\n\nThank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey https://forms.gle/QP9L16niPexozyhu5.\n\nThank you all,\n\nRegards,\nChris"
  },
  "source": "meta"
}