{
  "id": 130740,
  "title": "Top solutions from last year",
  "url": "/competitions/google-cloud-ncaa-march-madness-2020-division-1-womens-tournament/discussion/130740",
  "author_name": "",
  "post_date": "2020-02-16T03:30:50.248086300Z",
  "votes": 14,
  "comment_count": 6,
  "views": 0,
  "content": "<p>I was looking at the top solutions from last year to understand more about the competition. I have collated them and put it together. May be others will find it helpful too.</p>\n\n<p><a href=\"https://www.kaggle.com/c/womens-machine-learning-competition-2019/discussion/130625\">2019 Women's NCAA top solutions</a>\n<a href=\"https://www.kaggle.com/c/mens-machine-learning-competition-2019/discussion/130624\">2019 Men's NCAA top solutions</a></p>\n\n<p>Happy Kaggling!</p>",
  "messages": [
    {
      "id": "747155",
      "postDate": "02/16/2020 03:30:50",
      "content": "<p>I was looking at the top solutions from last year to understand more about the competition. I have collated them and put it together. May be others will find it helpful too.</p>\n\n<p><a href=\"https://www.kaggle.com/c/womens-machine-learning-competition-2019/discussion/130625\">2019 Women's NCAA top solutions</a>\n<a href=\"https://www.kaggle.com/c/mens-machine-learning-competition-2019/discussion/130624\">2019 Men's NCAA top solutions</a></p>\n\n<p>Happy Kaggling!</p>",
      "rawMarkdown": "I was looking at the top solutions from last year to understand more about the competition. I have collated them and put it together. May be others will find it helpful too.\n\n[2019 Women's NCAA top solutions](https://www.kaggle.com/c/womens-machine-learning-competition-2019/discussion/130625)\n[2019 Men's NCAA top solutions](https://www.kaggle.com/c/mens-machine-learning-competition-2019/discussion/130624)\n\nHappy Kaggling!",
      "votes": null
    },
    {
      "id": "747157",
      "postDate": "02/16/2020 03:34:04",
      "content": "<p>Also adding <a href=\"/raddar\">@raddar</a>'s winning solution link in NCAAW 2018 from the discussion posts. </p>\n\n<p><a href=\"https://www.kaggle.com/c/google-cloud-ncaa-march-madness-2020-division-1-womens-tournament/discussion/130619\">https://www.kaggle.com/c/google-cloud-ncaa-march-madness-2020-division-1-womens-tournament/discussion/130619</a></p>",
      "rawMarkdown": "Also adding @raddar's winning solution link in NCAAW 2018 from the discussion posts. \n\nhttps://www.kaggle.com/c/google-cloud-ncaa-march-madness-2020-division-1-womens-tournament/discussion/130619",
      "votes": null
    },
    {
      "id": "752215",
      "postDate": "02/20/2020 19:48:54",
      "content": "<p>hi\ni want to know how can i create mask for image segmentation?</p>",
      "rawMarkdown": "hi\ni want to know how can i create mask for image segmentation?",
      "votes": null
    },
    {
      "id": "755751",
      "postDate": "02/25/2020 05:03:54",
      "content": "<p>That's great <a href=\"/sudalairajkumar\">@sudalairajkumar</a> </p>",
      "rawMarkdown": "That's great @sudalairajkumar",
      "votes": null
    },
    {
      "id": "755891",
      "postDate": "02/25/2020 08:30:08",
      "content": "<p>Thx!</p>",
      "rawMarkdown": "Thx!",
      "votes": null
    },
    {
      "id": "756262",
      "postDate": "02/25/2020 15:09:47",
      "content": "<p>THX!</p>",
      "rawMarkdown": "THX!",
      "votes": null
    },
    {
      "id": "759023",
      "postDate": "02/28/2020 13:11:25",
      "content": "<p>Thanks for sharing.\nVery useful for a Kaggle novice.</p>",
      "rawMarkdown": "Thanks for sharing.\nVery useful for a Kaggle novice.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 747157,
      "author_name": "sudalairajkumar",
      "author_url": "",
      "post_date": "02/16/2020 03:34:04",
      "content": "<p>Also adding <a href=\"/raddar\">@raddar</a>'s winning solution link in NCAAW 2018 from the discussion posts. </p>\n\n<p><a href=\"https://www.kaggle.com/c/google-cloud-ncaa-march-madness-2020-division-1-womens-tournament/discussion/130619\">https://www.kaggle.com/c/google-cloud-ncaa-march-madness-2020-division-1-womens-tournament/discussion/130619</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 752215,
      "author_name": "hassansalari588",
      "author_url": "",
      "post_date": "02/20/2020 19:48:54",
      "content": "<p>hi\ni want to know how can i create mask for image segmentation?</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 755751,
      "author_name": "tuhinssam",
      "author_url": "",
      "post_date": "02/25/2020 05:03:54",
      "content": "<p>That's great <a href=\"/sudalairajkumar\">@sudalairajkumar</a> </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 755891,
      "author_name": "sandyhelly",
      "author_url": "",
      "post_date": "02/25/2020 08:30:08",
      "content": "<p>Thx!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 756262,
      "author_name": "sysywang",
      "author_url": "",
      "post_date": "02/25/2020 15:09:47",
      "content": "<p>THX!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 759023,
      "author_name": "aboubacarbagayogo",
      "author_url": "",
      "post_date": "02/28/2020 13:11:25",
      "content": "<p>Thanks for sharing.\nVery useful for a Kaggle novice.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "747155": "I was looking at the top solutions from last year to understand more about the competition. I have collated them and put it together. May be others will find it helpful too.\n\n[2019 Women's NCAA top solutions](https://www.kaggle.com/c/womens-machine-learning-competition-2019/discussion/130625)\n[2019 Men's NCAA top solutions](https://www.kaggle.com/c/mens-machine-learning-competition-2019/discussion/130624)\n\nHappy Kaggling!",
    "747157": "Also adding @raddar's winning solution link in NCAAW 2018 from the discussion posts. \n\nhttps://www.kaggle.com/c/google-cloud-ncaa-march-madness-2020-division-1-womens-tournament/discussion/130619",
    "752215": "hi\ni want to know how can i create mask for image segmentation?",
    "755751": "That's great @sudalairajkumar",
    "755891": "Thx!",
    "756262": "THX!",
    "759023": "Thanks for sharing.\nVery useful for a Kaggle novice."
  },
  "source": "meta"
}