{
  "id": 130619,
  "title": "winning approach of year 2018",
  "url": "/competitions/google-cloud-ncaa-march-madness-2020-division-1-womens-tournament/discussion/130619",
  "author_name": "",
  "post_date": "2020-02-15T09:51:11.652771600Z",
  "votes": 54,
  "comment_count": 6,
  "views": 0,
  "content": "<p>Last year I shared my approached to NCAAW 2018 competition (1st place). Hope it is useful this year as well:</p>\n\n<p>R (original):\n<a href=\"https://github.com/fakyras/ncaa_women_2018\">https://github.com/fakyras/ncaa_women_2018</a></p>\n\n<p>python equvalent presented at KaggleDays paris last year (has some bugs):\n<a href=\"https://www.kaggle.com/raddar/paris-madness\">https://www.kaggle.com/raddar/paris-madness</a> </p>\n\n<p>and here's some extra:\n<a href=\"https://www.kaggle.com/raddar/team-power-rankings\">https://www.kaggle.com/raddar/team-power-rankings</a></p>\n\n<p>Hope it is a good baseline for you to start with :)</p>",
  "messages": [
    {
      "id": "746640",
      "postDate": "02/15/2020 09:51:11",
      "content": "<p>Last year I shared my approached to NCAAW 2018 competition (1st place). Hope it is useful this year as well:</p>\n\n<p>R (original):\n<a href=\"https://github.com/fakyras/ncaa_women_2018\">https://github.com/fakyras/ncaa_women_2018</a></p>\n\n<p>python equvalent presented at KaggleDays paris last year (has some bugs):\n<a href=\"https://www.kaggle.com/raddar/paris-madness\">https://www.kaggle.com/raddar/paris-madness</a> </p>\n\n<p>and here's some extra:\n<a href=\"https://www.kaggle.com/raddar/team-power-rankings\">https://www.kaggle.com/raddar/team-power-rankings</a></p>\n\n<p>Hope it is a good baseline for you to start with :)</p>",
      "rawMarkdown": "Last year I shared my approached to NCAAW 2018 competition (1st place). Hope it is useful this year as well:\n\nR (original):\nhttps://github.com/fakyras/ncaa_women_2018\n\npython equvalent presented at KaggleDays paris last year (has some bugs):\nhttps://www.kaggle.com/raddar/paris-madness \n\nand here's some extra:\nhttps://www.kaggle.com/raddar/team-power-rankings\n\nHope it is a good baseline for you to start with :)",
      "votes": null
    },
    {
      "id": "747124",
      "postDate": "02/16/2020 01:39:29",
      "content": "<p>Thank you so much for sharing.</p>",
      "rawMarkdown": "Thank you so much for sharing.",
      "votes": null
    },
    {
      "id": "749778",
      "postDate": "02/18/2020 22:31:26",
      "content": "<p>great</p>",
      "rawMarkdown": "great",
      "votes": null
    },
    {
      "id": "750503",
      "postDate": "02/19/2020 12:54:56",
      "content": "<p>Thank for your great sharing!</p>",
      "rawMarkdown": "Thank for your great sharing!",
      "votes": null
    },
    {
      "id": "750583",
      "postDate": "02/19/2020 14:32:02",
      "content": "<p>Thank you so much!</p>",
      "rawMarkdown": "Thank you so much!",
      "votes": null
    },
    {
      "id": "752138",
      "postDate": "02/20/2020 19:04:31",
      "content": "<p>great</p>",
      "rawMarkdown": "great",
      "votes": null
    },
    {
      "id": "761224",
      "postDate": "03/02/2020 09:34:41",
      "content": "<p>Thank you so much for sharing, can you please explain why did you create regular_results_swap? \nAlso, I could not understand the code for a team's \"quality\".. \nThank you so much for your time :) </p>",
      "rawMarkdown": "Thank you so much for sharing, can you please explain why did you create regular_results_swap? \nAlso, I could not understand the code for a team's \"quality\".. \nThank you so much for your time :)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 747124,
      "author_name": "seholee",
      "author_url": "",
      "post_date": "02/16/2020 01:39:29",
      "content": "<p>Thank you so much for sharing.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 749778,
      "author_name": "",
      "author_url": "",
      "post_date": "02/18/2020 22:31:26",
      "content": "<p>great</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 750503,
      "author_name": "echowaiwai",
      "author_url": "",
      "post_date": "02/19/2020 12:54:56",
      "content": "<p>Thank for your great sharing!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 750583,
      "author_name": "sakana",
      "author_url": "",
      "post_date": "02/19/2020 14:32:02",
      "content": "<p>Thank you so much!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 752138,
      "author_name": "",
      "author_url": "",
      "post_date": "02/20/2020 19:04:31",
      "content": "<p>great</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 761224,
      "author_name": "avivlevi815",
      "author_url": "",
      "post_date": "03/02/2020 09:34:41",
      "content": "<p>Thank you so much for sharing, can you please explain why did you create regular_results_swap? \nAlso, I could not understand the code for a team's \"quality\".. \nThank you so much for your time :) </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "746640": "Last year I shared my approached to NCAAW 2018 competition (1st place). Hope it is useful this year as well:\n\nR (original):\nhttps://github.com/fakyras/ncaa_women_2018\n\npython equvalent presented at KaggleDays paris last year (has some bugs):\nhttps://www.kaggle.com/raddar/paris-madness \n\nand here's some extra:\nhttps://www.kaggle.com/raddar/team-power-rankings\n\nHope it is a good baseline for you to start with :)",
    "747124": "Thank you so much for sharing.",
    "749778": "great",
    "750503": "Thank for your great sharing!",
    "750583": "Thank you so much!",
    "752138": "great",
    "761224": "Thank you so much for sharing, can you please explain why did you create regular_results_swap? \nAlso, I could not understand the code for a team's \"quality\".. \nThank you so much for your time :)"
  },
  "source": "meta"
}