{
  "id": 535114,
  "title": "🤔 Second competition from Child Mind Institute",
  "url": "/competitions/child-mind-institute-problematic-internet-use/discussion/535114",
  "author_name": "",
  "post_date": "2024-09-20T10:36:05.946709400Z",
  "votes": 13,
  "comment_count": 2,
  "views": 0,
  "content": "<h2>👋 Dear Kagglers, I haven't got enough experience and Time series is difficult for me but I want to participate in this competition to improve my knowledges.</h2>\n<h3>🙋‍♂️ Does this competitions is very similar to first <a href=\"https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/data\" target=\"_blank\">Child Mind Institute - Detect Sleep States</a>? Because if this true then really great point to start is to read best discussions, solutions and notebooks from first competition and try to implement best approaches in new one.</h3>\n<p>Have a nice time in the competition!</p>",
  "messages": [
    {
      "id": "2993895",
      "postDate": "09/20/2024 10:36:05",
      "content": "<h2>👋 Dear Kagglers, I haven't got enough experience and Time series is difficult for me but I want to participate in this competition to improve my knowledges.</h2>\n<h3>🙋‍♂️ Does this competitions is very similar to first <a href=\"https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/data\" target=\"_blank\">Child Mind Institute - Detect Sleep States</a>? Because if this true then really great point to start is to read best discussions, solutions and notebooks from first competition and try to implement best approaches in new one.</h3>\n<p>Have a nice time in the competition!</p>",
      "rawMarkdown": "## 👋 Dear Kagglers, I haven't got enough experience and Time series is difficult for me but I want to participate in this competition to improve my knowledges.\n\n### 🙋‍♂️ Does this competitions is very similar to first [Child Mind Institute - Detect Sleep States](https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/data)? Because if this true then really great point to start is to read best discussions, solutions and notebooks from first competition and try to implement best approaches in new one.\n\nHave a nice time in the competition!",
      "votes": null
    },
    {
      "id": "2994923",
      "postDate": "09/21/2024 16:27:53",
      "content": "<p>yes, im planning the same..</p>",
      "rawMarkdown": "yes, im planning the same..",
      "votes": null
    },
    {
      "id": "3000835",
      "postDate": "09/28/2024 06:06:27",
      "content": "<p>I would say task wise its quite different though there is some similarity ( using wrist worn accelerometer /devices data) , By reading discussions it seems that dataset is indeed very noisy and small to apply ML models directly , It would require some crafting and feature engineering rather than using deep learning based model as we saw in earlier Child Mind competition</p>",
      "rawMarkdown": "I would say task wise its quite different though there is some similarity ( using wrist worn accelerometer /devices data) , By reading discussions it seems that dataset is indeed very noisy and small to apply ML models directly , It would require some crafting and feature engineering rather than using deep learning based model as we saw in earlier Child Mind competition",
      "votes": null
    },
    {
      "id": "3004793",
      "postDate": "10/02/2024 08:49:57",
      "content": "<p>Thank You for Your analytics Athar <a href=\"https://www.kaggle.com/sayedathar11\" target=\"_blank\">@sayedathar11</a> !</p>",
      "rawMarkdown": "Thank You for Your analytics Athar @sayedathar11 !",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2994923,
      "author_name": "bpkismyname",
      "author_url": "",
      "post_date": "09/21/2024 16:27:53",
      "content": "<p>yes, im planning the same..</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 3000835,
      "author_name": "sayedathar11",
      "author_url": "",
      "post_date": "09/28/2024 06:06:27",
      "content": "<p>I would say task wise its quite different though there is some similarity ( using wrist worn accelerometer /devices data) , By reading discussions it seems that dataset is indeed very noisy and small to apply ML models directly , It would require some crafting and feature engineering rather than using deep learning based model as we saw in earlier Child Mind competition</p>",
      "votes": null,
      "replies": [
        {
          "id": 3004793,
          "author_name": "kapturovalexander",
          "author_url": "",
          "post_date": "10/02/2024 08:49:57",
          "content": "<p>Thank You for Your analytics Athar <a href=\"https://www.kaggle.com/sayedathar11\" target=\"_blank\">@sayedathar11</a> !</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2993895": "## 👋 Dear Kagglers, I haven't got enough experience and Time series is difficult for me but I want to participate in this competition to improve my knowledges.\n\n### 🙋‍♂️ Does this competitions is very similar to first [Child Mind Institute - Detect Sleep States](https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/data)? Because if this true then really great point to start is to read best discussions, solutions and notebooks from first competition and try to implement best approaches in new one.\n\nHave a nice time in the competition!",
    "2994923": "yes, im planning the same..",
    "3000835": "I would say task wise its quite different though there is some similarity ( using wrist worn accelerometer /devices data) , By reading discussions it seems that dataset is indeed very noisy and small to apply ML models directly , It would require some crafting and feature engineering rather than using deep learning based model as we saw in earlier Child Mind competition",
    "3004793": "Thank You for Your analytics Athar @sayedathar11 !"
  },
  "source": "meta"
}