{
  "id": 189026,
  "title": "Sharing information when the competition is over !",
  "url": "/competitions/osic-pulmonary-fibrosis-progression/discussion/189026",
  "author_name": "",
  "post_date": "2020-10-06T11:11:26.770268400Z",
  "votes": 4,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hey everyone,</p>\n<p>Competition is ending and I wasn't able to produce a strong model. This was my first competition and it was pretty harsh. But I learned many things and I'm glad for that.</p>\n<p>But I would still like to learn even more. Before the winners flies away with their prizes, I would love to have the solutions they found out. So I'm opening this discussion to share information after the competition is ending. If the winners could share what idea/method made their scores improved significantly, it would be great !</p>\n<p>Congratulations to the winners, enjoy your prizes !</p>\n<p>Hope I will compete with some of you again in another Kaggle Competition 😁</p>",
  "messages": [
    {
      "id": "1039142",
      "postDate": "10/06/2020 11:11:26",
      "content": "<p>Hey everyone,</p>\n<p>Competition is ending and I wasn't able to produce a strong model. This was my first competition and it was pretty harsh. But I learned many things and I'm glad for that.</p>\n<p>But I would still like to learn even more. Before the winners flies away with their prizes, I would love to have the solutions they found out. So I'm opening this discussion to share information after the competition is ending. If the winners could share what idea/method made their scores improved significantly, it would be great !</p>\n<p>Congratulations to the winners, enjoy your prizes !</p>\n<p>Hope I will compete with some of you again in another Kaggle Competition 😁</p>",
      "rawMarkdown": "Hey everyone,\n\nCompetition is ending and I wasn't able to produce a strong model. This was my first competition and it was pretty harsh. But I learned many things and I'm glad for that.\n\nBut I would still like to learn even more. Before the winners flies away with their prizes, I would love to have the solutions they found out. So I'm opening this discussion to share information after the competition is ending. If the winners could share what idea/method made their scores improved significantly, it would be great !\n\nCongratulations to the winners, enjoy your prizes !\n\nHope I will compete with some of you again in another Kaggle Competition 😁",
      "votes": null
    },
    {
      "id": "1039176",
      "postDate": "10/06/2020 11:57:53",
      "content": "<p>This is also important for us. One of the competition rules asks the winners to open-source their solutions/codes. I take the chance to ask everyone in the competition to share their approaches when the competition is over. Our forum and notebooks sections already have a lot of useful ideas, codes, discussions, and I think this is one important benefit that we gain here. Sharing ideas after the deadline (especially how did you use the imaging data) would be a great opportunity to learn from each other to push forward our contributions to this area. Thanks, everyone!</p>",
      "rawMarkdown": "This is also important for us. One of the competition rules asks the winners to open-source their solutions/codes. I take the chance to ask everyone in the competition to share their approaches when the competition is over. Our forum and notebooks sections already have a lot of useful ideas, codes, discussions, and I think this is one important benefit that we gain here. Sharing ideas after the deadline (especially how did you use the imaging data) would be a great opportunity to learn from each other to push forward our contributions to this area. Thanks, everyone!",
      "votes": null
    },
    {
      "id": "1039645",
      "postDate": "10/06/2020 17:33:50",
      "content": "<p>Great, I didn't know it was mandatory for the winners to open-source their codes. Thanks for the answer.</p>",
      "rawMarkdown": "Great, I didn't know it was mandatory for the winners to open-source their codes. Thanks for the answer.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1039176,
      "author_name": "ahmedhshahin",
      "author_url": "",
      "post_date": "10/06/2020 11:57:53",
      "content": "<p>This is also important for us. One of the competition rules asks the winners to open-source their solutions/codes. I take the chance to ask everyone in the competition to share their approaches when the competition is over. Our forum and notebooks sections already have a lot of useful ideas, codes, discussions, and I think this is one important benefit that we gain here. Sharing ideas after the deadline (especially how did you use the imaging data) would be a great opportunity to learn from each other to push forward our contributions to this area. Thanks, everyone!</p>",
      "votes": null,
      "replies": [
        {
          "id": 1039645,
          "author_name": "yohannwattiez",
          "author_url": "",
          "post_date": "10/06/2020 17:33:50",
          "content": "<p>Great, I didn't know it was mandatory for the winners to open-source their codes. Thanks for the answer.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1039142": "Hey everyone,\n\nCompetition is ending and I wasn't able to produce a strong model. This was my first competition and it was pretty harsh. But I learned many things and I'm glad for that.\n\nBut I would still like to learn even more. Before the winners flies away with their prizes, I would love to have the solutions they found out. So I'm opening this discussion to share information after the competition is ending. If the winners could share what idea/method made their scores improved significantly, it would be great !\n\nCongratulations to the winners, enjoy your prizes !\n\nHope I will compete with some of you again in another Kaggle Competition 😁",
    "1039176": "This is also important for us. One of the competition rules asks the winners to open-source their solutions/codes. I take the chance to ask everyone in the competition to share their approaches when the competition is over. Our forum and notebooks sections already have a lot of useful ideas, codes, discussions, and I think this is one important benefit that we gain here. Sharing ideas after the deadline (especially how did you use the imaging data) would be a great opportunity to learn from each other to push forward our contributions to this area. Thanks, everyone!",
    "1039645": "Great, I didn't know it was mandatory for the winners to open-source their codes. Thanks for the answer."
  },
  "source": "meta"
}