{
  "id": 537199,
  "title": "Just want to say that I really want to share but I'm a bit hesitant to",
  "url": "/competitions/child-mind-institute-problematic-internet-use/discussion/537199",
  "author_name": "",
  "post_date": "2024-10-01T20:45:10.879190Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Dear fellow kagglers, hope everyone is doing great! This is my first time participating in a kaggle competition, and in fact this is my first proper ML project. I have conducted a thorough and systematic exploratory data analysis on the training set, and come up with many ideas that I feel quite proud of in terms of feature engineering, which seems to be a crucial aspect of this competition given the absolute messiness of the data. Normally I would not hesitate at all to share whatever I have discovered with others, but because this is a competition, I'm not feeling confident enough to share all my discoveries and insights. I do promise that I will post all of them once the submission stage is over!</p>",
  "messages": [
    {
      "id": "3004446",
      "postDate": "10/01/2024 20:45:10",
      "content": "<p>Dear fellow kagglers, hope everyone is doing great! This is my first time participating in a kaggle competition, and in fact this is my first proper ML project. I have conducted a thorough and systematic exploratory data analysis on the training set, and come up with many ideas that I feel quite proud of in terms of feature engineering, which seems to be a crucial aspect of this competition given the absolute messiness of the data. Normally I would not hesitate at all to share whatever I have discovered with others, but because this is a competition, I'm not feeling confident enough to share all my discoveries and insights. I do promise that I will post all of them once the submission stage is over!</p>",
      "rawMarkdown": "Dear fellow kagglers, hope everyone is doing great! This is my first time participating in a kaggle competition, and in fact this is my first proper ML project. I have conducted a thorough and systematic exploratory data analysis on the training set, and come up with many ideas that I feel quite proud of in terms of feature engineering, which seems to be a crucial aspect of this competition given the absolute messiness of the data. Normally I would not hesitate at all to share whatever I have discovered with others, but because this is a competition, I'm not feeling confident enough to share all my discoveries and insights. I do promise that I will post all of them once the submission stage is over!",
      "votes": null
    },
    {
      "id": "3004449",
      "postDate": "10/01/2024 20:55:55",
      "content": "<p>By the way, I have probably read way to much epidemiological and physiological research than what I probably need to in order to make sense of the insanity</p>",
      "rawMarkdown": "By the way, I have probably read way to much epidemiological and physiological research than what I probably need to in order to make sense of the insanity",
      "votes": null
    },
    {
      "id": "3004545",
      "postDate": "10/02/2024 00:49:51",
      "content": "<p>Looking forward to reading it - best of luck! </p>",
      "rawMarkdown": "Looking forward to reading it - best of luck!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3004449,
      "author_name": "hongyuyang1",
      "author_url": "",
      "post_date": "10/01/2024 20:55:55",
      "content": "<p>By the way, I have probably read way to much epidemiological and physiological research than what I probably need to in order to make sense of the insanity</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 3004545,
      "author_name": "ethanp345",
      "author_url": "",
      "post_date": "10/02/2024 00:49:51",
      "content": "<p>Looking forward to reading it - best of luck! </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3004446": "Dear fellow kagglers, hope everyone is doing great! This is my first time participating in a kaggle competition, and in fact this is my first proper ML project. I have conducted a thorough and systematic exploratory data analysis on the training set, and come up with many ideas that I feel quite proud of in terms of feature engineering, which seems to be a crucial aspect of this competition given the absolute messiness of the data. Normally I would not hesitate at all to share whatever I have discovered with others, but because this is a competition, I'm not feeling confident enough to share all my discoveries and insights. I do promise that I will post all of them once the submission stage is over!",
    "3004449": "By the way, I have probably read way to much epidemiological and physiological research than what I probably need to in order to make sense of the insanity",
    "3004545": "Looking forward to reading it - best of luck!"
  },
  "source": "meta"
}