{
  "id": 437182,
  "title": "New to Kaggle or Machine Learning? Check this out ~",
  "url": "/competitions/child-mind-institute-detect-sleep-states/discussion/437182",
  "author_name": "Maggie",
  "post_date": "2023-09-05T19:10:29.734000",
  "votes": 7,
  "comment_count": 6,
  "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<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<p>New to Kaggle? Take a look at a few videos Dr. Rachael Tatman has put together to learn a bit more about <a href=\"https://www.youtube.com/watch?v=aIus8si_Et0\" target=\"_blank\">site etiquette</a>, or <a href=\"https://www.youtube.com/watch?v=sEJHyuWKd-s\" target=\"_blank\">Kaggle lingo</a>.</p>\n<p>Remember: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our <a href=\"https://www.kaggle.com/community-guidelines\" target=\"_blank\">Kaggle community guidelines</a>.</p>\n<p>A tip on sharing content - Kaggle is a collaborative community, whereby sharing techniques, starter notebooks, and ideas in the discussion forums are highly encouraged throughout the competition. However, as the competition draws closer to the final deadline it's customary to keep high-scoring notebooks withheld until after the competition has concluded. This maintains the spirit of the competition, while also allowing individuals to submit their own creative work without jeopardy of a higher-scoring notebook being available for an automatic higher rank (through copy/submit). We disable publishing of public notebooks within the final week of the competition, but encourage you to use your best judgment prior to that deadline.</p>\n<p>Happy Modeling!</p>",
  "messages": [
    {
      "id": 2425301,
      "postDate": "2023-09-05T19:10:29.733Z",
      "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<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<p>New to Kaggle? Take a look at a few videos Dr. Rachael Tatman has put together to learn a bit more about <a href=\"https://www.youtube.com/watch?v=aIus8si_Et0\" target=\"_blank\">site etiquette</a>, or <a href=\"https://www.youtube.com/watch?v=sEJHyuWKd-s\" target=\"_blank\">Kaggle lingo</a>.</p>\n<p>Remember: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our <a href=\"https://www.kaggle.com/community-guidelines\" target=\"_blank\">Kaggle community guidelines</a>.</p>\n<p>A tip on sharing content - Kaggle is a collaborative community, whereby sharing techniques, starter notebooks, and ideas in the discussion forums are highly encouraged throughout the competition. However, as the competition draws closer to the final deadline it's customary to keep high-scoring notebooks withheld until after the competition has concluded. This maintains the spirit of the competition, while also allowing individuals to submit their own creative work without jeopardy of a higher-scoring notebook being available for an automatic higher rank (through copy/submit). We disable publishing of public notebooks within the final week of the competition, but encourage you to use your best judgment prior to that deadline.</p>\n<p>Happy Modeling!</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 Dr. Rachael Tatman has put together to learn a bit more about [site etiquette](https://www.youtube.com/watch?v=aIus8si_Et0), or [Kaggle lingo](https://www.youtube.com/watch?v=sEJHyuWKd-s).\n\nRemember: 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](https://www.kaggle.com/community-guidelines).\n\nA tip on sharing content - Kaggle is a collaborative community, whereby sharing techniques, starter notebooks, and ideas in the discussion forums are highly encouraged throughout the competition. However, as the competition draws closer to the final deadline it's customary to keep high-scoring notebooks withheld until after the competition has concluded. This maintains the spirit of the competition, while also allowing individuals to submit their own creative work without jeopardy of a higher-scoring notebook being available for an automatic higher rank (through copy/submit). We disable publishing of public notebooks within the final week of the competition, but encourage you to use your best judgment prior to that deadline.\n\n  \n\nHappy Modeling!\n",
      "votes": 7
    },
    {
      "id": 2568511,
      "postDate": "2023-12-20T15:38:08.340Z",
      "content": "<p>Thanks for the post. I thing that for those whom are new here, the Kaggle platform is really intuitite. I'm data scientist since yrs ago and jsut now I started to use the Kaggle competition. Before, I used it a lot but only to get the datasets to apply my predictions. <br>\nBy the way, people whom are starting the competition, be welcome!  😃</p>\n<p>Face it like a massive team of learners!</p>",
      "rawMarkdown": "Thanks for the post. I thing that for those whom are new here, the Kaggle platform is really intuitite. I'm data scientist since yrs ago and jsut now I started to use the Kaggle competition. Before, I used it a lot but only to get the datasets to apply my predictions. \nBy the way, people whom are starting the competition, be welcome!  😃\n\nFace it like a massive team of learners!"
    },
    {
      "id": 2535295,
      "postDate": "2023-11-23T08:20:46.610Z",
      "content": "<p>Hi, How I can download the conda environment for the competition? </p>",
      "rawMarkdown": "Hi, How I can download the conda environment for the competition? "
    },
    {
      "id": 2432155,
      "postDate": "2023-09-10T16:07:17.523Z",
      "content": "<p>I am interested in joining a team working on the Child Mind Institute competition. I am new to Kaggle and not very familiar navigating this site, but I have been working on Python and ML for sometime. - Thank you</p>",
      "rawMarkdown": "I am interested in joining a team working on the Child Mind Institute competition. I am new to Kaggle and not very familiar navigating this site, but I have been working on Python and ML for sometime. - Thank you"
    },
    {
      "id": 2426681,
      "postDate": "2023-09-06T18:47:07.457Z",
      "content": "<p>I am interested in joining a team working on the Child Mind Institute competition. I am new to Kaggle and not very familiar navigating this site, but I have been working on Python and ML for sometime. - Thank you</p>",
      "rawMarkdown": "I am interested in joining a team working on the Child Mind Institute competition. I am new to Kaggle and not very familiar navigating this site, but I have been working on Python and ML for sometime. - Thank you"
    },
    {
      "id": 2539669,
      "postDate": "2023-11-27T08:53:49.443Z",
      "content": "<p>Is it possible to work on solutions for kaggle competitions using a normal laptop with no GPU? if yes, how?</p>",
      "rawMarkdown": "Is it possible to work on solutions for kaggle competitions using a normal laptop with no GPU? if yes, how?",
      "isDeleted": true,
      "replies": [
        {
          "id": 2568513,
          "postDate": "2023-12-20T15:40:25.300Z",
          "content": "<p>Hi Milind. Absolutely yes! I can't say exatly the minimum requirements, but I can guarantee that a I5 processor and at least 8GB RAM memory+SSD, it's enough to run most of the problems here!😉</p>",
          "rawMarkdown": "Hi Milind. Absolutely yes! I can't say exatly the minimum requirements, but I can guarantee that a I5 processor and at least 8GB RAM memory+SSD, it's enough to run most of the problems here!😉"
        }
      ]
    }
  ],
  "comments": [
    {
      "id": 2568511,
      "author_name": "Válber César",
      "author_url": "",
      "post_date": "2023-12-20T15:38:08.340000",
      "content": "<p>Thanks for the post. I thing that for those whom are new here, the Kaggle platform is really intuitite. I'm data scientist since yrs ago and jsut now I started to use the Kaggle competition. Before, I used it a lot but only to get the datasets to apply my predictions. <br>\nBy the way, people whom are starting the competition, be welcome!  😃</p>\n<p>Face it like a massive team of learners!</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 2535295,
      "author_name": "itay katav",
      "author_url": "",
      "post_date": "2023-11-23T08:20:46.610000",
      "content": "<p>Hi, How I can download the conda environment for the competition? </p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 2432155,
      "author_name": "Siam Arefin",
      "author_url": "",
      "post_date": "2023-09-10T16:07:17.523000",
      "content": "<p>I am interested in joining a team working on the Child Mind Institute competition. I am new to Kaggle and not very familiar navigating this site, but I have been working on Python and ML for sometime. - Thank you</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 2426681,
      "author_name": "Nader E Afshar",
      "author_url": "",
      "post_date": "2023-09-06T18:47:07.457000",
      "content": "<p>I am interested in joining a team working on the Child Mind Institute competition. I am new to Kaggle and not very familiar navigating this site, but I have been working on Python and ML for sometime. - Thank you</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 2539669,
      "author_name": "",
      "author_url": "",
      "post_date": "2023-11-27T08:53:49.443000",
      "content": "<p>Is it possible to work on solutions for kaggle competitions using a normal laptop with no GPU? if yes, how?</p>",
      "votes": 0,
      "replies": [
        {
          "id": 2568513,
          "author_name": "Válber César",
          "author_url": "",
          "post_date": "2023-12-20T15:40:25.300000",
          "content": "<p>Hi Milind. Absolutely yes! I can't say exatly the minimum requirements, but I can guarantee that a I5 processor and at least 8GB RAM memory+SSD, it's enough to run most of the problems here!😉</p>",
          "votes": 0,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2425301": "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 Dr. Rachael Tatman has put together to learn a bit more about [site etiquette](https://www.youtube.com/watch?v=aIus8si_Et0), or [Kaggle lingo](https://www.youtube.com/watch?v=sEJHyuWKd-s).\n\nRemember: 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](https://www.kaggle.com/community-guidelines).\n\nA tip on sharing content - Kaggle is a collaborative community, whereby sharing techniques, starter notebooks, and ideas in the discussion forums are highly encouraged throughout the competition. However, as the competition draws closer to the final deadline it's customary to keep high-scoring notebooks withheld until after the competition has concluded. This maintains the spirit of the competition, while also allowing individuals to submit their own creative work without jeopardy of a higher-scoring notebook being available for an automatic higher rank (through copy/submit). We disable publishing of public notebooks within the final week of the competition, but encourage you to use your best judgment prior to that deadline.\n\n  \n\nHappy Modeling!\n",
    "2568511": "Thanks for the post. I thing that for those whom are new here, the Kaggle platform is really intuitite. I'm data scientist since yrs ago and jsut now I started to use the Kaggle competition. Before, I used it a lot but only to get the datasets to apply my predictions. \nBy the way, people whom are starting the competition, be welcome!  😃\n\nFace it like a massive team of learners!",
    "2535295": "Hi, How I can download the conda environment for the competition? ",
    "2432155": "I am interested in joining a team working on the Child Mind Institute competition. I am new to Kaggle and not very familiar navigating this site, but I have been working on Python and ML for sometime. - Thank you",
    "2426681": "I am interested in joining a team working on the Child Mind Institute competition. I am new to Kaggle and not very familiar navigating this site, but I have been working on Python and ML for sometime. - Thank you",
    "2539669": "Is it possible to work on solutions for kaggle competitions using a normal laptop with no GPU? if yes, how?"
  }
}